Our technology aggregates SSL certificates data into the business domain data firehose, an incredible alternative data source. We are the only provider on the market with this data.
Datasets
Datafeeds that we support currently, with updates available monthly, weekly or daily, available as a flat file in json or delimited file formats.
BizData Dataset
Firmographics data for all active business websites in the English language, updated monthly. This includes company start dates and size indicators derived from certificate history, parsed from website: address, phone numbers, emails, and social links, as well as modeled keywords and business categories.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| domain | String | Company domain and unique record identifier. |
| name | String | Latest and most accurate company name from certificate or website. |
| status | String | Company operating status, pair of status:confidence, status values "active" or "closed". |
| score | Unsigned Int32 | Company size and buying power computed from certificates history, numeric number, values (1 - 800). |
| start_date | Date (YYYY-MM-DD) | Company Start date, derived from the date of the first certificate. |
| end_date | Date (YYYY-MM-DD) | Company End date, empty if still in business otherwise the end date of the last certificate. |
| address | String | Full address of HQ, from website metatags or content. |
| city | String | City, from website metatags or content. |
| zip | String | Zip, from website metatags or content. |
| country | String | Country Code from website metatags or content, two letter code in ISO 3166-1 alpha-2 standard. |
| phones | String | Array of phone numbers listed on the website, pipe separated list. |
| redirect_domain | String | Last domain in the redirect chain, if any. |
| linkup | String | Array of up to two parent domains, pipe separated list. |
| public_emails | String | Array of contact emails listed on the website, pipe separated list. |
| domain_associations | String | Array of up to 100 domains linked to the primary domain derived from certificates and all other complementary datasets, pipe separated list. |
| social_urls | String | Array of URLs pointing to the company page on Twitter, Linkedin, Facebook, pipe separated list. |
| description | String | Description, from website metatags or content. |
| keywords | String | Keywords generated by our Natural Language Models based on site content, array of pairs keyword:confidence, pipe separated list. |
| industry_groups | String | Array of up to two top industries, pairs of group:confidence, pipe separated list. |
| update_date | Date (YYYY-MM-DD) | Date of last record update. |
Industry Groups
- ADVERTISING_AND_MARKETING
- AGRICULTURE_AND_NATURAL_RESOURCES
- AUTOMOTIVE
- BUSINESS_PRODUCTS_AND_SERVICES
- COMPUTER_HARDWARE_AND_SEMICONDUCTORS
- CONGLOMERATES_SHELL_AND_HOLDING_COMPANIES
- CONSTRUCTION
- CONSUMER_PRODUCTS
- CONSUMER_SERVICES
- DEFENSE_AND_AEROSPACE
- EDUCATION
- ENERGY
- ENGINEERING
- ENVIRONMENTAL_SERVICES
- FINANCIAL_SERVICES
- FOOD_AND_BEVERAGE
- GOVERNMENT_SERVICES
- HEALTHCARE
- HUMAN_RESOURCES
- INSURANCE
- IT_SERVICES
- LEGAL
- LOGISTICS_AND_TRANSPORTATION
- MANUFACTURING
- MEDIA
- PHARMACEUTICALS
- REAL_ESTATE
- RETAIL
- SECURITY
- SOFTWARE
- TELECOMMUNICATIONS
- TRAVEL_AND_HOSPITALITY
Certificate Stream Dataset
Certificate information as we collect it from Certificate Authorities (CA), full worldwide coverage.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
| fqdn | String | Fully Qualified Domain Name for the certificate, as appears in the certificate's subject. |
| secondary_domains | Array[String] | List of secondary domains and certificates, as appears in the certificate's secondary alternate domains. |
| date_from | DateTime (YYYY-MM-DD HH:MM:SS) | Start of certificate validity period. |
| date_to | DateTime (YYYY-MM-DD HH:MM:SS) | End of certificate validity period. |
| organization | String | Organization information for the certificate, as appears in the certificate's subject. |
| city | String | City information for the certificate, as appears in the certificate's subject. |
| state | String | State information for the certificate, as appears in the certificate's subject. |
| country | String | Country information for the certificate, as appears in the certificate's subject. |
| String | E-mail information for the certificate, as appears in the certificate's subject. | |
| sha1 | String | The SHA-1 fingerprint of a certificate (SHA-1 digest value of the certificate's DER representation). |
| issuer_country | String | Country information for the issuer of the certificate, as appears in the issuer. |
| issuer_organization | String | Organization information for the certificate issuer, as appears in the certificate's issuer. |
DNS Dataset
Continuously updated dataset covering all domains that we see through our certificates firehose, including domains referenced in the subject alternative name data field.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| fqdn | String | Fully qualified domain name for which the DNS record was queried. |
| domain | String | Domain portion of the FQDN. |
| record_type | String | Type of DNS record, currently supported record types : A/MX/TXT/SOA/NS/CNAME/DNAME. |
| record_data | Array(String) | DNS data for the specified record type. |
| record_date | Date (YYYY-MM-DD) | Date in which the DNS record was queried. |
Domain Status Dataset
Output of our processing pipeline, from resolving DNS to obtaining site page text including detection of parked domains.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| domain | String | Company domain and unique record identifier. |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
| status_code | UInt8 | Best status code for the record's compiled date. |
| status_reason | Nullable(String) | Additional verbose information for status_code. |
Status Codes
| Code | Description |
|---|---|
| 0 | Non-Business or personal domain (portfolio page, personal page, school project, blog, etc.) |
| 1 | Business Domain |
| 2 | Parked Domain (registrar parked pages, e-commerce parked, hosted parked, etc.) |
| 3 | Re-scrape required; Additional re-scraping is necessary to generate a more meaningful status (usually caused by WAF protection or scraping limitations) |
| 4 | Re-scrape not required; Identified as a server default page, login page, page with no helpful info, etc. |
| 80 | Language not supported; Website is not in a language we currently process. The detected language is in the reason column. |
| 81 | Body too short; Content retrieved needs to be longer to be an actual website, despite receiving HTTP status 200 (in some cases, this is triggered by WAF). |
| 82 | Scraping unsuccessful; we could not to get website content in this pass. The HTTP error code is in the reason column. |
| 90 | NXDOMAIN (domain not exists) or SERVFAIL (DNS server cannot return a result) response returned from the DNS server. Some SERVFAILs are recoverable in future retries. |
PublicLink Dataset
This dataset consolidates business domains that share identical contact information — phone numbers, email addresses, and social media URLs — enabling the identification and analysis of interconnected business entities.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| linked_domain | String | Normalized linked domain name (excluding any subdomain). |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
| source | String | The method from which the link was derived, possible values are:
|
| link_values | Array[String] | The values that were used to link the two domains. such as email addresses, phone numbers, or social media URLs. |
Redirect Domains Dataset
This dataset identifies and maps domain linkages based on URL redirects, highlighting the connections between domains through their redirection patterns. We capture all forms of redirects, including HTTP 301 and 302, JavaScript redirects, meta tag redirects, and more.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| source_domain | String | Normalized domain name (excluding any subdomain). |
| source_fqdn | String | The source FQDN used to establish domain linkages within this dataset. |
| linked_domain | String | Normalized linked domain name (excluding any subdomain). |
| linked_fqdn | String | The linked FQDN used to establish domain linkages within this dataset. |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
Site Text Dataset
Extracted text and site links. Available only in JSON format and as a daily feed.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| url | String | Page from which the content was extracted. |
| domain | String | Normalized domain name (excluding any subdomain). |
| extraction_date | Date (YYYY-MM-DD) | Date in which the content was extracted. |
| page | String | Classification of the URL from which the content was extracted. Possible values are 'home','about', 'careers', 'documentation', 'location', 'policy', 'products', 'services'. |
| extracted_text | String | Text as extracted from the URL, cleaned up from all HTML tags and other elements that cannot be used for embeddings. |
| extracted_links | Array[LinkObject] | Compilation of URL links and their corresponding or alternative text from tags. |
Subsidiaries Linkage Dataset
This dataset maps the connections between business domains by leveraging alternative domain names listed in SSL certificates, facilitating the identification of related entities.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| source_domain | String | Normalized domain name (excluding any subdomain). |
| source_fqdn | String | The source FQDN used to establish domain linkages within this dataset. |
| source_score | Unsigned Int32 | Domain score computed from certificates history, numeric number, values (1 - 800). |
| linked_domain | String | Normalized linked domain name (excluding any subdomain). |
| linked_fqdn | String | The linked FQDN used to establish domain linkages within this dataset. |
| linked_score | Unsigned Int32 | Domain score computed from certificates history, numeric number, values (1 - 800). |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
| parent_domain | String | Domain with the highest score among all source-linked pairs. |
| child_domain | String | Remaining domains with scores lower than the parent domain’s score. |
Vendor Integration Dataset
The Vendor Integration Dataset captures information about vendors who have implemented their services under a client’s primary domain, utilizing white labeling.
Flat-File Layout
| Name | Format | Description |
|---|---|---|
| client_domain | String | Normalized domain name (excluding any subdomain). |
| client_fqdn | String | The client FQDN (Fully Qualified Domain Name) used for the implementation of the vendor solution. |
| vendor_domain | String | Normalized vendor domain name (excluding any subdomain). |
| vendor_fqdn | String | The vendor FQDN (Fully Qualified Domain Name) used in the client’s white label implementation. |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
API Access
Authentication
To authorize, you must submit an
x-discolike-keyheader along with your request:
curl "api_endpoint_here" \
-H "x-discolike-key: API_KEY"
Make sure to replace
API_KEYwith your API key.
DiscoLike uses API keys to allow access to the API. You can request a new DiscoLike API key by contacting us directly.
DiscoLike expects all requests headers to include the API key, in a format that looks like the following:
x-discolike-key: API_KEY
Sandbox
The API Sandbox offers developers a dedicated testing environment to effortlessly interact with our API. It enables them to easily send requests, receive responses, and explore the API’s functionality and behavior.
Contact us for a demo API key.
Errors
The DiscoLike API uses the following error codes:
| Error Code | Meaning |
|---|---|
| 204 | No Data -- Data is not available for the requested parameters. |
| 209 | Site was unavailable during data collection. Please explore a similar alternative site |
| 213 | Crawl attempt for the site failed. Please try again later. |
| 400 | Bad Request -- Your request is invalid. |
| 403 | Forbidden -- The request cannot be served due to user permissions (e.g., unauthorized endpoint). |
| 405 | Method Not Allowed -- You tried to access an endpoint with an invalid method. |
| 429 | Too Many Requests -- You exceed the API key's rate limit. Please slow down. |
| 500 | Internal Server Error -- We had a problem with our server. Try again later. |
| 503 | Service Unavailable -- We're temporarily offline for maintenance. Please try again later. |
API Endpoints
Welcome to the DiscoLike API! You can use our API to access DiscoLike datasets. Code samples are available on the right-hand pane.
Append API
curl --form file='@data_file.csv' "https://api.discolike.com/v1/append?dataset=bizdata" \
-H "x-discolike-key: API_KEY"
In this example, input file data_file.csv is a CSV file with the following data:
domain
discolike.com
The API will return a JSON structure with the appended datasets:
[
{
"input:domain": "discolike.com",
"bizdata:domain": "discolike.com",
"bizdata:name": "DiscoLike Inc",
"bizdata:status": {
"status": "active",
"confidence": 1.0
},
"bizdata:score": 85,
"bizdata:start_date": "2022-02-17",
"bizdata:end_date": null,
"bizdata:address": {
"street": null,
"city": null,
"state": "CA",
"zip": null,
"country": "US"
},
"bizdata:phones": ["+16503957610"],
"bizdata:public_emails": ["info@discolike.com"],
"bizdata:domain_associations": [],
"bizdata:social_urls": [
"https://www.facebook.com/people/discolike/100089380786422/",
"https://www.linkedin.com/company/discolike/"
],
"bizdata:redirect_domain": null,
"bizdata:linkup": [],
"bizdata:description": "Summary: DiscoLike is a data-as-a-service company specializing in the acquisition of global company data from SSL certificates and related business websites . The most complete business domain directory, complemented by firmographics, subsidiary linkage, and natural language or lookalike search capabilities .",
"bizdata:keywords": {
"business discovery": 0.63,
"identifying business": 0.51,
"business domains": 0.51,
"business directory": 0.5,
"business linkages": 0.5,
"discovery b2b": 0.5,
"prospect search": 0.49,
"business websites": 0.47,
"business prospect": 0.47,
"company data": 0.43,
"b2b home": 0.42,
"keywords industry": 0.41,
"documentation careers": 0.39,
"linkage api": 0.39,
"lookalike search": 0.37
},
"bizdata:industry_groups": {
"SOFTWARE": 0.85,
"IT_SERVICES": 0.07
},
"bizdata:update_date": "2024-07-11"
}
]
If &csv=true is added to the request, the API will return a CSV file with the appended datasets:
input:domain,bizdata:domain,bizdata:name,bizdata:status,bizdata:confidence,bizdata:score,bizdata:start_date,bizdata:end_date,bizdata:street,bizdata:city,bizdata:state,bizdata:zip,bizdata:country,bizdata:phones,bizdata:public_emails,bizdata:domain_associations,bizdata:social_urls,bizdata:redirect_domain,bizdata:linkup,bizdata:description,bizdata:keywords,bizdata:industry_groups,bizdata:update_date
discolike.com,discolike.com,DiscoLike Inc,active,1.0,85,2022-02-17,,,,CA,,US,['+16503957610'],['info@discolike.com'],[],"['https://www.facebook.com/people/discolike/100089380786422/', 'https://www.linkedin.com/company/discolike/']",,[],"Summary: DiscoLike is a data-as-a-service company specializing in the acquisition of global company data from SSL certificates and related business websites . The most complete business domain directory, complemented by firmographics, subsidiary linkage, and natural language or lookalike search capabilities .","{""business discovery"": 0.63, ""identifying business"": 0.51, ""business domains"": 0.51, ""business directory"": 0.5, ""business linkages"": 0.5, ""discovery b2b"": 0.5, ""prospect search"": 0.49, ""business websites"": 0.47, ""business prospect"": 0.47, ""company data"": 0.43, ""b2b home"": 0.42, ""keywords industry"": 0.41, ""documentation careers"": 0.39, ""linkage api"": 0.39, ""lookalike search"": 0.37}","{""SOFTWARE"": 0.85, ""IT_SERVICES"": 0.07}",2024-07-11
Enrich customer or prospect profiles by performing bulk data appends across multiple domains.
HTTP Request
POST https://api.discolike.com/v1/append
Query Parameters
The file may include additional columns, and if the domain column label is not provided, the API will attempt to autodetect the column containing the domain list.
| Parameter | Description |
|---|---|
| dataset | Specifies which datasets to append. Acceptable values are: bizdata, domain_status, redirects and growth |
| domain_column | The label of the column containing domains. If not provided, the API will attempt to autodetect the column. |
Response
Column names from the original file will be prefixed with "input:".
Appended column names will be prefixed with the dataset name (e.g., bizdata:domain, bizdata:name).
The API will return a JSON structure with the appended data by default. If &csv=True is added to the request, the API will return the appended data in CSV format.
BizData API
curl "https://api.discolike.com/v1/bizdata?domain=www.gs.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"domain": "gs.com",
"name": "Goldman Sachs",
"status": {
"status": "active",
"confidence": 1
},
"score": 709,
"start_date": "2005-06-24",
"end_date": null,
"address": {
"street": "200 West St",
"city": "New York",
"state": "NY",
"zip": "10282",
"country": "US"
},
"phones": ["+12129021000", "+17322832112"],
"public_emails": [],
"domain_associations": [
"goldmansachsfonds.de",
"goldmansachsfunds.de",
"goldmantrading.com",
"gsamsymposium.com",
"gs.com.au",
"goldman360.com",
"gs360.com",
"gsbrandguidelines.com",
"debellerive.ch",
"login.gs",
"skycloud.gs",
"uatmarcus.com",
"uatmarcus.co.uk",
"uatkentsavings.co.uk",
"goldman.com",
"gsam.com",
"ayco.com",
"honestdollar.com",
"goldmansachs.cn",
"goldmansachsbdc.com",
"gsipventures.com",
"gscio.com",
"goldmansachs.com",
"gsam.co.jp",
"goldmansachsfunds.sg",
"goldmansachsfunds.se",
"goldmansachsfunds.lu",
"goldmansachsfunds.it",
"goldmansachsfunds.hk",
"goldmansachsfunds.dk",
"goldmansachsfunds.de",
"goldmansachsfunds.com.br",
"goldmansachsfunds.com",
"goldmansachsfunds.be",
"goldmansachsfunds.at",
"goldmansachsfonds.de",
"goldmansachsfondi.it",
"goldmansachs.com.br",
"goldmansachs.co.jp",
"archongroup.com",
"archongestion.fr",
"gsblackinbiz.com",
"gsselect.com",
"simonmarkets.com",
"simon.io",
"gsmosaic.com",
"goldmansachsmosaic.com",
"goldmanmosaic.com",
"gsmarkets.nl",
"gsmarkets.be",
"gsacquisition.com",
"goldmansachsindices.com",
"goldmansachsahc.com",
"goldmansachsah.com",
"gsapis.com",
"goldman.ch",
"rocaton.com",
"gsbank.com",
"aptitudeinvest.com",
"gs.de",
"gsmarkets.at",
"gsmarkets.de",
"gspcs.com",
"gsamfunds.com",
"explore-simon.com",
"gsmarkets.fr",
"goldmansachs.com.tr",
"finlife.com",
"unitedcp.com",
"goldmanpfm.com",
"finlifepartners.com",
"petershillpartners.co.uk",
"petershillpartners.com",
"flexscore.com",
"marcus.com",
"slk.com",
"marcus.co.uk",
"sagasavings.co.uk",
"optexservices.com",
"minato-servicer.com",
"gsnews.com",
"gsaminsurance.com",
"gsam.jp",
"gsam.co.in",
"gsam-insurance.com",
"gsam-institutional.com",
"gs10000smallbusinesses.com",
"gs-reload.com",
"goldmansachsfunds.nl",
"goldmansachsfunds.fr",
"goldmansachsfunds.es",
"goldmansachsfunds.ch",
"goldmansachsfonds.at",
"goldmansachs10000smallbusinesses.com",
"ejgb.com",
"ejgb.co.jp",
"crmpolicygroup.org",
"10kwomen.org",
"10k-women.com",
"10000women.org"
],
"social_urls": [
"https://twitter.com/goldmansachs",
"https://www.linkedin.com/company/goldman-sachs"
],
"goldmansachs.com": "goldmansachs.com",
"linkup": ["goldmansachs.com", "akamai-cdn1.com"],
"description": "The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base.",
"keywords": {
"goldman sachs": 0.6969,
"sachs clients": 0.6531,
"investment banking": 0.606,
"sachs msci": 0.6037,
"apply goldman": 0.5681,
"sachs goldman": 0.5662,
"institutional investors": 0.557,
"investors": 0.5541,
"growth financial": 0.5476,
"financial expertise": 0.5467,
"banks corporates": 0.5399,
"financial cloud": 0.5358,
"financial products": 0.527,
"analysts learn": 0.4757,
"treasury future": 0.4431
},
"industry_groups": {
"FINANCIAL_SERVICES": 0.947,
"BUSINESS_PRODUCTS_AND_SERVICES": 0.0116
},
"update_date": "2023-07-06"
}
This API endpoint returns firmographic data for the domain, returns single record from the BizData Dataset. API will return an error if no business is found at this domain. The API removes subdomains from the input domain.
HTTP Request
GET https://api.discolike.com/v1/bizdata
Query Parameters
| Parameter | Description |
|---|---|
| domain | Domain to investigate. |
Response Fields
| Field | Format | Description |
|---|---|---|
| domain | String | Company domain and unique record identifier. |
| name | String | Latest and most accurate company name from certificate or website. |
| status | StringConfidenceObject | Company operating status. Status values "active" or "closed". |
| score | Unsigned Int32 | Company size and buying power computed from certificates history, numeric number, values (1 - 800). |
| start_date | Date (YYYY-MM-DD) | Company Start date, derived from the date of the first certificate. |
| end_date | Date (YYYY-MM-DD) | Company End date, empty if still in business otherwise the end date of the last certificate. |
| address | String | Full address of HQ, from website metatags or content. |
| city | String | City, from website metatags or content. |
| zip | String | Zip, from website metatags or content. |
| country | String | Country Code from website metatags or content, two letter code in ISO 3166-1 alpha-2 standard. |
| phones | Array[String] | Phone numbers listed on the website. |
| redirect_domain | String | Last domain in the redirect chain, if any. |
| linkup | Array[String] | Parent domains (limited to 2). |
| public_emails | Array[String] | Contact emails listed on the website. |
| domain_associations | Array[String] | Domains linked to the primary domain derived from certificates and all other complementary datasets. |
| social_urls | Array[String] | URLs pointing to the company page on Twitter, Linkedin, Facebook |
| description | String | Description, from website metatags or content. |
| keywords | Array[StringConfidenceObject] | Keywords generated by our Natural Language Models based on site content. |
| industry_groups | Array[StringConfidenceObject] | Top industries (limited to 2). |
| update_date | Date (YYYY-MM-DD) | Date of last record update. |
BrandScan API
curl "https://api.discolike.com/v1/brandscan?domain=www.discolike.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
[
{
"domain": "discoliam.dev",
"attack_vector": "ngram_distance",
"similarity": 0.89,
"risk": "medium",
"score": null,
"last_contacted": "2023-05-16",
"status": "inactive",
"classification": "business",
"confidence": 1,
"start_date": "2019-03-01",
"end_date": "2023-01-18",
"keywords": {
"discoliam skip": 0.6853,
"skip main": 0.4706,
"main content": 0.3627
}
},
{
"domain": "discol.co.kr",
"attack_vector": "ngram_distance",
"similarity": 0.88,
"risk": "medium",
"score": 37.95,
"last_contacted": "2023-05-16",
"status": "active",
"classification": "unable_to_score",
"confidence": 0.99,
"start_date": "2012-09-17",
"end_date": "2023-07-11",
"keywords": {}
},
{
"domain": "discol.ru",
"attack_vector": "ngram_distance",
"similarity": 0.86,
"risk": "medium",
"score": 33.89,
"last_contacted": "2023-05-16",
"status": "active",
"classification": "unable_to_score",
"confidence": 0.99,
"start_date": "2018-08-28",
"end_date": "2023-07-12",
"keywords": {}
},
{
"domain": "discolive.uk",
"attack_vector": "ngram_distance",
"similarity": 0.9,
"risk": "high",
"score": null,
"last_contacted": "2023-05-16",
"status": "inactive",
"classification": "unable_to_score",
"confidence": 1,
"start_date": "2018-06-15",
"end_date": "2020-07-11",
"keywords": {}
},
{
"domain": "discoliam.com",
"attack_vector": "ngram_distance",
"similarity": 0.9,
"risk": "high",
"score": 143.01,
"last_contacted": "2023-05-14",
"status": "active",
"classification": "business",
"confidence": 1,
"start_date": "2018-01-18",
"end_date": "2023-07-29",
"keywords": {
"discoliam skip": 0.6853,
"skip main": 0.4706,
"main content": 0.3627
}
},
{
"domain": "likedisco.com",
"attack_vector": "ngram_distance",
"similarity": 0.9,
"risk": "high",
"score": null,
"last_contacted": "2023-05-13",
"status": "inactive",
"classification": "parked_or_dead",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-12",
"keywords": {}
},
{
"domain": "discol.com",
"attack_vector": "ngram_distance",
"similarity": 0.95,
"risk": "very_high",
"score": 38.61,
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"domain": "discol.co",
"attack_vector": "ngram_distance",
"similarity": 0.94,
"risk": "high",
"score": null,
"last_contacted": "2022-06-12",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-12",
"keywords": {}
},
{
"domain": "discolino.com",
"attack_vector": "ngram_distance",
"similarity": 0.92,
"risk": "high",
"score": null,
"last_contacted": "2022-06-12",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-12",
"keywords": {}
},
{
"domain": "selfdiscolin.tk",
"attack_vector": "ngram_distance",
"similarity": 0.59,
"risk": "low",
"score": null,
"last_contacted": "2022-06-12",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2021-08-17",
"keywords": {}
},
{
"domain": "discolive.fi",
"attack_vector": "ngram_distance",
"similarity": 0.89,
"risk": "medium",
"score": null,
"last_contacted": "2022-06-12",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-12",
"keywords": {}
},
{
"domain": "colike.pw",
"attack_vector": "ngram_distance",
"similarity": 0.68,
"risk": "low",
"score": null,
"last_contacted": "2022-06-07",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2021-08-10",
"keywords": {}
},
{
"domain": "discoline.de",
"attack_vector": "ngram_distance",
"similarity": 0.89,
"risk": "medium",
"score": 16.67,
"last_contacted": "2022-09-16",
"status": "active",
"classification": "unable_to_score",
"confidence": 0.99,
"start_date": "2018-05-23",
"end_date": "2023-06-07",
"keywords": {}
},
{
"domain": "discolife.co",
"attack_vector": "ngram_distance",
"similarity": 0.95,
"risk": "very_high",
"score": null,
"last_contacted": "2022-06-06",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-06",
"keywords": {}
},
{
"domain": "discolife.club",
"attack_vector": "ngram_distance",
"similarity": 0.9,
"risk": "high",
"score": null,
"last_contacted": "2022-06-06",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-06",
"keywords": {}
},
{
"domain": "discolist.me",
"attack_vector": "ngram_distance",
"similarity": 0.9,
"risk": "high",
"score": null,
"last_contacted": "2022-06-04",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-04",
"keywords": {}
},
{
"domain": "discolite.jp",
"attack_vector": "ngram_distance",
"similarity": 0.89,
"risk": "medium",
"score": null,
"last_contacted": "2022-06-03",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-03",
"keywords": {}
},
{
"domain": "discolite.cf",
"attack_vector": "ngram_distance",
"similarity": 0.92,
"risk": "high",
"score": null,
"last_contacted": "2022-06-02",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2020-01-07",
"keywords": {}
},
{
"domain": "discolite.gq",
"attack_vector": "ngram_distance",
"similarity": 0.89,
"risk": "medium",
"score": null,
"last_contacted": "2022-06-02",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2020-01-07",
"keywords": {}
},
{
"domain": "discolegs.co.uk",
"attack_vector": "ngram_distance",
"similarity": 0.89,
"risk": "medium",
"score": null,
"last_contacted": "2022-06-01",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-06-01",
"keywords": {}
},
{
"domain": "discoleg.com",
"attack_vector": "ngram_distance",
"similarity": 0.95,
"risk": "very_high",
"score": null,
"last_contacted": "2022-05-31",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-05-31",
"keywords": {}
},
{
"domain": "discol.cn",
"attack_vector": "ngram_distance",
"similarity": 0.9,
"risk": "high",
"score": null,
"last_contacted": "2022-05-27",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-05-27",
"keywords": {}
},
{
"domain": "iscoli.tk",
"attack_vector": "ngram_distance",
"similarity": 0.79,
"risk": "low",
"score": null,
"last_contacted": "2022-05-26",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2023-02-18",
"keywords": {}
},
{
"domain": "discolies.de",
"attack_vector": "ngram_distance",
"similarity": 0.89,
"risk": "medium",
"score": null,
"last_contacted": "2022-05-26",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-05-26",
"keywords": {}
},
{
"domain": "discolive.services",
"attack_vector": "ngram_distance",
"similarity": 0.86,
"risk": "medium",
"score": null,
"last_contacted": "2022-05-24",
"status": "inactive",
"classification": "unable_to_open",
"confidence": 1,
"start_date": null,
"end_date": "2022-05-24",
"keywords": {}
}
]
This API endpoint generates registered domain permutations that could be used by domain squatters. Domain squatters are individuals or organizations that register domain names that are similar to existing trademarks or brand names in order to profit from them. This can be done for a variety of reasons, such as brand impersonation, fraud, or typosquatting.
The Domain Permutations API is limited to generating 10,000 unique domains per request.
The API removes subdomains from the input domain.
HTTP Request
GET https://api.discolike.com/v1/brandscan
Query Parameters
| Parameter | Description |
|---|---|
| domain | Domain to investigate. |
Response Fields
| Field | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| attack_vector | String | The attack vector assigned to this domain, possible values are:
|
| similarity | Decimal(1,2) | The Jaro-Winkler Similarity of this domain compared to the original domain |
| risk | String | Risk level assigned to this domain being used for domain squatting, derived from the similarity. Risk values are "low", "medium", "high", "very_high" |
| score | Unsigned Int32 | Company size and buying power computed from certificates history, numeric number, values (1 - 800). |
| last_contacted | Date (YYYY-MM-DD) | The last time the domain was contacted and validated by us. |
| status | String | Company operating status. Status values "active" or "inactive". |
| classification | String | Classification result for the domain. possible values are:
|
| confidence | Decimal(1,2) | Confidence score for classification label. |
| start_date | Date (YYYY-MM-DD) | The earliest validity time of the certificate, null if exists only as a secondary domain on a certificate. |
| end_date | Date (YYYY-MM-DD) | The latest validity time of the certificate. |
| keywords | Array[StringConfidenceObject] | Keywords generated by our Natural Language Models based on site content. |
Count API
curl "https://api.discolike.com/v1/count?keyword=bovine&keyword=serum&min_score=0" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"count": 133
}
Estimate the number of matching profiles based on the search criteria.
HTTP Request
GET https://api.discolike.com/v1/count
Query Parameters
| Parameter | Description |
|---|---|
| keyword | Specify one or more of search keywords. You can input up to 10 keywords. |
| negate_keyword | Specify one or more search keywords to exclude from the results. You can input up to 10 keywords. |
| exact_match | Specify the exact text fragment to search. You can input up to 10 text fragments. |
| negate_exact_match | Specify the exact text fragment to exclude from the results. Up to 10 text fragments can be entered. |
| state | Limit results to a single state by using USA state codes. This filter is not supoported with more than one country. This field is optional; all states are included by default. |
| country | Limit results to one or more country using ISO-3166-2 two-letter country codes. This field is optional; by default, all countries are included. |
| start_date | Minimum company start date, derived from the date of the first certificate in format YYYY-MM-DD. Can be supplied as a single date or as a range in format YYYY-MM-DD,YYYY-MM-DD .This field is optional. |
| min_score | Set the minimum score to include in the output, within a range of 0-800. This field is optional, with a default value of 50, representing small businesses. |
| max_score | Set the maximum score to include in the output, within a range of 0-800. This field is optional, and the default value is set at 800, which includes the largest companies. |
| redirect | Set to 1 to include business domains that redirect to another domain. This field is optional and defaults to 0. |
| social | Filter results based on the presence of one or more social profiles. This field is optional. Acceptable values are:
|
| category | Filter results by the desired industry. A list of acceptable values can be found in the BizData Dataset |
| language | Filter results by one or more text language using in ISO-639-2 two-letter language codes. This field is optional; by default, all languages are included. Supported languages can be found here |
The API returns the number of matching profiles based on the search criteria.
Response Fields
| Field | Format | Description |
|---|---|---|
| count | UInt32 | The number of matching profiles. |
Discover API
curl "https://api.discolike.com/v1/discover?keyword=bovine&keyword=serum&state=CA&country=US&min_score=50&max_score=600&redirect=1" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
[
{
"domain": "wellwisdom.com",
"name": "Well Wisdom",
"status": {
"status": "active",
"confidence": 1
},
"score": 163,
"start_date": "2012-09-20",
"end_date": null,
"address": {
"street": null,
"city": "San Diego",
"state": "CA",
"zip": "92116",
"country": "US"
},
"phones": ["+16192339355", "+16192339909"],
"public_emails": [],
"domain_associations": [],
"social_urls": [
"https://twitter.com/wellwisdomwhey",
"https://www.facebook.com/well-wisdom-119109408167485/",
"https://www.facebook.com/well-wisdom-119109408167485/timeline/",
"https://www.instagram.com/wellwisdom/"
],
"redirect_domain": null,
"linkup": [],
"description": "Well Wisdom provides the best in grass fed whey protein powder. Shop us today to fuel athletes, immune compromised and people of all ages!",
"keywords": {
"proserum whey": 0.6417,
"processed whey": 0.6185,
"whey protein": 0.6047,
"whey products": 0.6027,
"protein powder": 0.5831,
"bioactive colostrumtm": 0.5326,
"protein derived": 0.528,
"vital whey": 0.5279,
"friendly protein": 0.5114,
"protein foods": 0.5048,
"grass fed": 0.4927,
"proserum gmo": 0.4697,
"bovine growth": 0.4631,
"lactoferrin serum": 0.4629,
"glutamine nutritionally": 0.3951
},
"industry_groups": {
"FOOD_AND_BEVERAGE": 0.766,
"CONSUMER_PRODUCTS": 0.051
},
"update_date": "2023-09-27"
},
{
"domain": "gembio.com",
"name": "GeminiBio",
"status": {
"status": "active",
"confidence": 1
},
"score": 112,
"start_date": "2015-02-26",
"end_date": null,
"address": {
"street": "920 Stillwater Rd",
"city": "West Sacramento",
"state": "CA",
"zip": "95605",
"country": "US"
},
"phones": ["+19162735220"],
"public_emails": [
"nfo@geminibio.com",
"customerservice@geminibio.com",
"info@geminibio.com"
],
"domain_associations": ["ddsandbox.net", "gembio.local", "geminibio.com"],
"social_urls": [
"https://twitter.com/gembio",
"https://www.facebook.com/help/516147308587266",
"https://www.facebook.com/help/568137493302217",
"https://www.facebook.com/pages/gemini-bio-products/168583939819833",
"https://www.facebook.com/terms.php",
"https://www.instagram.com/geminibio",
"https://www.linkedin.com/company/gemini-bio",
"https://www.twitter.com/gembio"
],
"redirect_domain": "geminibio.com",
"linkup": ["geminibio.com"],
"description": "Serving biotechnology industry, from basic research to production, with a focus on helping accelerate the development of life-enhancing drugs",
"keywords": {
"biopharma geminibio": 0.6727,
"biotherapeutics geminibio": 0.6636,
"geminibio products": 0.6465,
"health biotechnology": 0.6011,
"geminibio developed": 0.5896,
"research geminibio": 0.5625,
"biopharma gene": 0.5494,
"therapeutic cell": 0.5483,
"biotechnology company": 0.5474,
"cell culture": 0.5435,
"culture supplements": 0.504,
"bovine serum": 0.4945,
"human recombinant": 0.4775,
"serum fetal": 0.469,
"growth factors": 0.4628
},
"industry_groups": {
"PHARMACEUTICALS": 0.866,
"HEALTHCARE": 0.083
},
"update_date": "2023-10-07"
},
{
"domain": "serumindustry.org",
"name": "International Serum Industry Association",
"status": {
"status": "active",
"confidence": 1
},
"score": 109,
"start_date": "2018-01-18",
"end_date": null,
"address": {
"street": "2023 E Wren Way",
"city": "Ontario",
"state": "CA",
"zip": "91761",
"country": "US"
},
"phones": [],
"public_emails": ["info@serumindustry.org"],
"domain_associations": ["serumindustry.com", "serumindustry.net"],
"social_urls": [
"https://www.facebook.com/serumindustry",
"https://www.linkedin.com/company/international-serum-industry-association",
"https://www.linkedin.com/company/international-serum-industry-association/",
"https://www.youtube.com/channel/uc4ly5no4oxoh2yq7tao65qg"
],
"redirect_domain": null,
"linkup": ["serumindustry.net"],
"description": null,
"keywords": {
"bovine serum": 0.7542,
"overview serum": 0.7344,
"serum animal": 0.7209,
"serum processing": 0.72,
"understanding serum": 0.7175,
"animal serum": 0.7155,
"serum resources": 0.7047,
"serum applications": 0.6921,
"serum industry": 0.6854,
"serum products": 0.6817,
"international serum": 0.6389,
"field serum": 0.6198,
"serum vital": 0.61,
"serum join": 0.5743,
"serum fbs": 0.566
},
"industry_groups": {
"HEALTHCARE": 0.813,
"PHARMACEUTICALS": 0.112
},
"update_date": "2023-10-07"
},
{
"domain": "unitsci.com",
"name": "Unit Scientific",
"status": {
"status": "active",
"confidence": 1
},
"score": 88,
"start_date": "2019-08-08",
"end_date": null,
"address": {
"street": "4765 Muir Ave",
"city": "San Diego",
"state": "CA",
"zip": "92107",
"country": "US"
},
"phones": [],
"public_emails": ["info@unitsci.com"],
"domain_associations": ["oneworldlab.com", "unitscientific.com"],
"social_urls": [
"https://linkedin.com/company/unit-scientific",
"https://twitter.com/unitsci",
"https://www.facebook.com/unitsci",
"https://www.linkedin.com/company/unit-scientific/"
],
"redirect_domain": null,
"linkup": [],
"description": "Utilizing a data-driven approach to solve the digital marketing puzzle for life science companies and the like interested in growing their presence and revenue online.",
"keywords": {
"marketing scientifically": 0.6017,
"digital marketing": 0.4768,
"product marketing": 0.4713,
"factor antibody": 0.4529,
"scientific proprietary": 0.4477,
"measurements marketing": 0.4448,
"product development": 0.42,
"sciences companies": 0.4108,
"companies utilize": 0.3837,
"quantitation polyclonal": 0.3706,
"life science": 0.3696,
"bovine serum": 0.355,
"cbd product": 0.35,
"website analysis": 0.348,
"unitsci com": 0.3374
},
"industry_groups": {
"PHARMACEUTICALS": 0.986,
"HEALTHCARE": 0.008
},
"update_date": "2023-10-01"
}
]
Search our firmographics data for the best possible matches based on the context of the business domain's homepage using one or more of the following methods:
Domain Match
We analyze the content of your input domains and compare it with all others to find the closest matches. No need to worry about keywords or text descriptions – it's our most automated and user-friendly option. The API removes subdomains from the input domain when using domain match.
HTTP Request
GET https://api.discolike.com/v1/discover?domain=discolike.com&state=CA&country=US&min_score=50&max_score=600&redirect=1&social=linkedin&max_records=25
Natural Language (NL) Match
Simply type in a description that best represents the business you're seeking. Our model will understand the concept and find businesses with similar concepts, eliminating the need for precise terms or keywords. Longer, more informative descriptions will return tighter matches.
HTTP Request
GET https://api.discolike.com/v1/discover?nl_match=Account+Based+Marketing&state=CA&country=US&min_score=50&max_score=600&redirect=1&social=linkedin&max_records=25
Keyword Match
We match your input keywords against keywords we generate for each firmographics profile. Keywords can be single words or consecutive word pairs (tuples), offering a tighter match. Our system narrows down site content to the top 10 essential tuples to minimize false positives.
HTTP Request
GET https://api.discolike.com/v1/discover?keyword=bovine&keyword=serum&country=US&min_score=50&max_score=600&redirect=1&social=linkedin&max_records=25
Exact Match
Our most precise and least automated option. We'll take one or more text fragments, which can be as short as a single word, and check for their exact presence in the site text.
HTTP Request
GET https://api.discolike.com/v1/discover?exact_match=account+based+marketing&exact_match=platform&country=US&min_score=50&max_score=600&redirect=1&social=linkedin&max_records=25
Query Parameters
| Parameter | Description |
|---|---|
| domain | Specify a domain or set of domains as a base for lookalike matching. Up to 10 domains can be entered. |
| negate_domain | A subset of the results that match the negate domain context will be excluded from the match results. This process ensures that only the most relevant domains are considered, removing the need to manually filter out irrelevant domains. The API removes subdomains from the input domain when using negate domain.Up to 10 domains can be entered. |
| nl_match | Enter one or more paragraphs of text for our model to use with Natural Language Match. |
| negate_nl_match | Provide a detailed description that represents the business concept you wish to exclude. Results that match that concept will be excluded. |
| keyword | Specify one or more of search keywords. You can input up to 10 keywords. |
| negate_keyword | Specify one or more search keywords to exclude from the results. You can input up to 10 keywords. |
| exact_match | Specify the exact text fragment to search. You can input up to 10 text fragments. |
| negate_exact_match | Specify the exact text fragment to exclude from the results. Up to 10 text fragments can be entered. |
| state | Limit results to a single state by using USA state codes. This filter is not supoported with more than one country. This field is optional; all states are included by default. |
| country | Limit results to one or more country using ISO-3166-2 two-letter country codes. This field is optional; by default, all countries are included. |
| start_date | Minimum company start date, derived from the date of the first certificate in format YYYY-MM-DD. Can be supplied as a single date or as a range in format YYYY-MM-DD,YYYY-MM-DD .This field is optional. |
| min_score | Set the minimum score to include in the output, within a range of 0-800. This field is optional, with a default value of 50, representing small businesses. |
| max_score | Set the maximum score to include in the output, within a range of 0-800. This field is optional, and the default value is set at 800, which includes the largest companies. |
| min_similarity | Minimum similarity to include in output, in range 0-99 (optional, defaults to 0) |
| max_records | Maximum records to include in the output, in the range 25-1000 (optional, defaults to 100) |
| redirect | Set to 1 to include business domains that redirect to another domain. This field is optional and defaults to 0. |
| consensus | Using the average of the top-n results from the first pass to refine the source vector in the second pass to significantly enhance the quality of similarity matching. in range 1-20 (optional, defaults to 1) |
| page | Select the website page to use for matching. This field is optional and defaults to ‘home’. |
| social | Filter results based on the presence of one or more social profiles. This field is optional. Acceptable values are:
|
| category | Filter results by the desired industry. A list of acceptable values can be found in the BizData Dataset |
| language | Filter results by one or more text language using in ISO-639-2 two-letter language codes. This field is optional; by default, all languages are included. Supported languages can be found here |
| retrieval | Set to 1 to enable Page Data Retrieval using Extract API. This field is optional and defaults to 0. |
The API returns an array of BizData profiles as described in the BizData API, with the additional fields below:
Response Fields
| Field | Format | Description |
|---|---|---|
| similarity | UInt8 | Similarity score between the output domain and the query domains or Natural Language text. A score of 100 indicates complete match, while a score of 0 signifies no relation. |
Extract API
curl "https://api.discolike.com/v1/extract?url=https://www.discolike.com/" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"language": "en",
"text": "DiscoLike - Business Discovery for B2B Home Solutions Platform Documentation Company About Us Contact Us Careers Free Trial Free Trial New Linkage API is now available Business Discovery for B2B The most complete business domain directory, complemented by firmographics, subsidiary linkage, and natural language or lookalike search capabilities. Get started Discover More We are a data-as-a-service company specializing in the acquisition of global company data from SSL certificates and related business websites. Our data sets include business domain directory, linkage and classification, firmographics, extracted text, and AI model embeddings. Besides data, we provide technology for natural language or domain lookalike business or prospect search. Choose between APIs or on-premise solution with our flexible open-source based platform. Search by Lookalike Domain or Customer Profile It's an ideal tool for building prospect lists or for validating outreach copy. No need to fuss with keywords or industry categories. Powered by a Large Language Model, our platform will extract the concepts and find optimally correlated business domains. Add search functionality to your product in days using our API or go further and use our data and support to build an on-premise solution. Domain Linkage Data Identifying business linkages is vital for sales, market analysis, and more. Faulty data leads to misdirected efforts, loss of credibility, and wasted resources. We transcend press releases, extracting links from certificates, domain redirects, social URLs, emails, and phone numbers. Our analysis charts the complete domain universe, classifying links as subsidiaries, vendors, or clients. Domain Status and Business Identification Maintaining a clean and current business directory dataset is essential. Each year, a quarter of all business domains change status due to companies being bought, changing names, or going out of business, leading to dead or parked domains. Our data from certificates enable us to track all new domains entering the market, as well as those that expire. We utilize website content, legal pages, meta tags, and other signals to identify business domains. Firmographics, Keywords, and Industry Categories Firmographics data must be factual to be useful. The market is filled with incorrect firmographics, whether self-reported or modeled. Frequent business changes, outdated government records, and the scarcity of data on private companies add challenges. By harnessing historical certificate data, we obtain precise information about business status, size, and start date. We compile site keywords and industry categories from current website content. Open Data Understanding that each customer's needs are unique, we are dedicated to an open data approach that avoids locking our customers into a vendor-specific solution. Raw certificate stream data feed provides worldwide coverage and near real-time updates. DNS record dataset offers web, email, and aliases configurations for all domains entering our system. Site Embeddings dataset includes extracted text from web pages, site links, and LLM embeddings. Get started Browse all features Our platform foundation is built on vast amounts of data. It's a large and growing dataset of over 11 billion certificate issuance events, 300 million unique domains, 4 billion domain to parent domain links, and over 2 petabytes of website pages' text per year. Browse All Datasets Some of Our Customers Home Solutions Platform Documentation About Us Careers Login Free Trial Contact Us Terms & Conditions Free Trial Copyright DiscoLike Inc. 2555 Flores St. Suite #425, San Mateo, CA 94403",
"links": {
"https://discolike.com/company/about-us": null,
"https://discolike.com/company/careers": null,
"https://discolike.com/contact": null,
"https://api.discolike.com/v1/docs/": null,
"https://discolike.com/solutions": null,
"https://discolike.com/terms-conditions": null
}
}
The Extract API takes a web page URL as an input parameter and extracts the page's text content, as well as the links and their corresponding text on the page.
HTTP Request
GET https://api.discolike.com/v1/extract?url=<url>
Query Parameters
| Parameter | Description |
|---|---|
| url | The URL of the web page to extract content from. |
Response Fields
| Field | Format | Description |
|---|---|---|
| language | String | Source language of the web page text in a ISO-639-2 two-letter language codes. Supported languages can be found here |
| text | String | The extracted text content of the web page. |
| links | Object | A dictionary of links found on the web page. The key is the URL of the link, and the value is the text of the link. |
Growth API
curl "https://api.discolike.com/v1/growth?domain=discolike.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"domain": "discolike.com",
"score_2023Q3": 55,
"score_2023Q4": 61,
"score_2024Q1": 58,
"score_2024Q2": 66,
"score_2024Q3": 87,
"score_growth_3M": 11.2,
"subdomains_2023Q3": 2,
"subdomains_2023Q4": 2,
"subdomains_2024Q1": 5,
"subdomains_2024Q2": 4,
"subdomains_2024Q3": 3,
"subdomain_growth_3M": -1.9
}
Business growth metrics derived from a company’s IT footprint (visible online presence) as observed through certificate registrations.
HTTP Request
GET https://api.discolike.com/v1/growth
Query Parameters
| Parameter | Description |
|---|---|
| domain | Query domain |
Response Fields
| Field | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| score_YYYYQX | Unsigned Int32 | The score score for the specified quarter (e.g., score_2023Q3). |
| score_growth_3M | Float32 | The growth rate of the score over the last 3 months. |
| subdomains_YYYYQX | Unsigned Int32 | Number of subdomains in the specified quarter (e.g., subdomains_2023Q3). |
| subdomain_growth_3M | Float32 | The growth rate of the number of subdomains over the last 3 months. |
History API
curl "https://api.discolike.com/v1/history?domain=www.discolike.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"domain": "discolike.com",
"certificates": [
{
"sha1_fingerprint": "34ab1d0be3af8ad1c60b44e1805fb55ebb71e6e6",
"fqdn": "register-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-27 18:57:41",
"date_to": "2024-07-26 18:57:40",
"alternative_fqdn": ["register-dev.discolike.com"]
},
{
"sha1_fingerprint": "9d82de4490fdbb42bbf55a6ff5681d69eb2bdbec",
"fqdn": "register-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-27 18:57:41",
"date_to": "2024-07-26 18:57:40",
"alternative_fqdn": ["register-dev.discolike.com"]
},
{
"sha1_fingerprint": "0fa48ffcd4848404fb39675621357c6fe6906c2a",
"fqdn": "sandbox-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-25 23:58:56",
"date_to": "2024-07-24 23:58:55",
"alternative_fqdn": ["sandbox-dev.discolike.com"]
},
{
"sha1_fingerprint": "9c7fc473c5c364af73ba038f2618ff6c1e5d4fbb",
"fqdn": "sandbox-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-25 23:58:56",
"date_to": "2024-07-24 23:58:55",
"alternative_fqdn": ["sandbox-dev.discolike.com"]
},
{
"sha1_fingerprint": "750df8a052b4bfd277ebc04836e2a404c2a3662a",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-24 15:06:25",
"date_to": "2024-07-23 15:06:24",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "54bc85a33afd5d0a03f960b5e0b7eea3a9035f38",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-24 15:06:25",
"date_to": "2024-07-23 15:06:24",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "08500b4a4dc892e70c3f0a00bef30af1cae9693c",
"fqdn": "register.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-11 23:34:14",
"date_to": "2024-07-10 23:34:13",
"alternative_fqdn": ["register.discolike.com"]
},
{
"sha1_fingerprint": "eb2037145bb753e73fe053dc0cecf54eaea0b527",
"fqdn": "register.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-04-11 23:34:14",
"date_to": "2024-07-10 23:34:13",
"alternative_fqdn": ["register.discolike.com"]
},
{
"sha1_fingerprint": "fd1953f2c572984df975af86121903e6812b62c3",
"fqdn": "grafana.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-29 21:16:33",
"date_to": "2024-06-27 21:16:32",
"alternative_fqdn": ["grafana.ops.discolike.com"]
},
{
"sha1_fingerprint": "ed339620e3cdd32c786a7cefe7fc0677e819e871",
"fqdn": "grafana.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-29 21:16:33",
"date_to": "2024-06-27 21:16:32",
"alternative_fqdn": ["grafana.ops.discolike.com"]
},
{
"sha1_fingerprint": "3fb62a4374c94b83e940799f36956ea5d4ad7b6a",
"fqdn": "healthchecks.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-18 19:17:19",
"date_to": "2024-06-16 19:17:18",
"alternative_fqdn": ["healthchecks.ops.discolike.com"]
},
{
"sha1_fingerprint": "44b137267368caf874444f59e347f9f85ae2ae2e",
"fqdn": "healthchecks.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-18 19:17:19",
"date_to": "2024-06-16 19:17:18",
"alternative_fqdn": ["healthchecks.ops.discolike.com"]
},
{
"sha1_fingerprint": "131323ac31aa542ed0e06189f7d09f01f0078255",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-12 16:49:52",
"date_to": "2024-06-10 16:49:51",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "604c9b17c17c3365d4cc5968561d0c327132bf7a",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-12 16:49:52",
"date_to": "2024-06-10 16:49:51",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "fb1d99182585508c1dca423ada75f487f97ea7ef",
"fqdn": "sandbox.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-08 18:40:07",
"date_to": "2024-06-06 18:40:06",
"alternative_fqdn": ["sandbox.discolike.com"]
},
{
"sha1_fingerprint": "3e54db605772f8eca2f312ff774ea33529dd8213",
"fqdn": "sandbox.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-08 18:40:07",
"date_to": "2024-06-06 18:40:06",
"alternative_fqdn": ["sandbox.discolike.com"]
},
{
"sha1_fingerprint": "50917432e2114e2bf48c9028b1e8969b13a6f8e6",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-02 10:18:04",
"date_to": "2024-05-31 10:18:03",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "fee9886ec3072f3cd93daf45a8b84cf0ca03834b",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-02 10:18:04",
"date_to": "2024-05-31 10:18:03",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "b418fb02d85032d0def3317a647f8321121ab72d",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-02 09:20:39",
"date_to": "2024-05-31 09:20:38",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "30e5298b3ef75c31af3ab67ca8f128a85621eb99",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-03-02 09:20:39",
"date_to": "2024-05-31 09:20:38",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "f8ae56d79703d3c31a13978698482c813d89a4fe",
"fqdn": "register-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-27 19:57:16",
"date_to": "2024-05-27 19:57:15",
"alternative_fqdn": ["register-dev.discolike.com"]
},
{
"sha1_fingerprint": "f96ed8b99239aff85554ff8be57c779c2d9edc98",
"fqdn": "register-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-27 19:57:16",
"date_to": "2024-05-27 19:57:15",
"alternative_fqdn": ["register-dev.discolike.com"]
},
{
"sha1_fingerprint": "0eac9a5bacda6a0be59699eef597df99277eb6d3",
"fqdn": "sandbox-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-26 00:58:30",
"date_to": "2024-05-26 00:58:29",
"alternative_fqdn": ["sandbox-dev.discolike.com"]
},
{
"sha1_fingerprint": "092ad69668a159292fcebf3bae361c01a99b1402",
"fqdn": "sandbox-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-26 00:58:30",
"date_to": "2024-05-26 00:58:29",
"alternative_fqdn": ["sandbox-dev.discolike.com"]
},
{
"sha1_fingerprint": "165a59c06b4a7f31c795b2141b90c9bc422b4fd0",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-24 16:06:02",
"date_to": "2024-05-24 16:06:01",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "e25fe6b076f47280e701f18a450f16f83819544a",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-24 16:06:02",
"date_to": "2024-05-24 16:06:01",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "85fa03510b5174cc3d29337ea0d183708567be12",
"fqdn": "register.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-12 00:33:48",
"date_to": "2024-05-12 00:33:47",
"alternative_fqdn": ["register.discolike.com"]
},
{
"sha1_fingerprint": "839902594a0f49e9402b99d2cafaf3e7552f9705",
"fqdn": "register.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-12 00:33:48",
"date_to": "2024-05-12 00:33:47",
"alternative_fqdn": ["register.discolike.com"]
},
{
"sha1_fingerprint": "f66ead7fc8290ff649594b2fb0eb00e20030edfd",
"fqdn": "loki.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-08 23:18:23",
"date_to": "2024-05-08 23:18:22",
"alternative_fqdn": ["loki.ops.discolike.com"]
},
{
"sha1_fingerprint": "bef4b7308275729fb7a084a2fb2b486532cfe049",
"fqdn": "loki.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-08 23:18:23",
"date_to": "2024-05-08 23:18:22",
"alternative_fqdn": ["loki.ops.discolike.com"]
},
{
"sha1_fingerprint": "977bb8321fe2e3cd662e9218528b2acb1af557df",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 21:51:17",
"date_to": "2024-05-02 21:51:16",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "01ff9d8470086aa0bdf1fd8c5f783fd8d92c9906",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 21:51:17",
"date_to": "2024-05-02 21:51:16",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "2c25a9d58822620b2aafc0780492a85d6374f80c",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 21:51:14",
"date_to": "2024-05-02 21:51:13",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "b98b4ed308f09a51975beedfd846f95e334914cc",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 21:51:14",
"date_to": "2024-05-02 21:51:13",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "9d43b9b3e06b72f1d7e1296d80ba1b521ed57eb9",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 04:00:07",
"date_to": "2024-05-02 04:00:06",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "dc564c877c45dc07f0e6bccfdc05386068e1b7e2",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 04:00:07",
"date_to": "2024-05-02 04:00:06",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "33a6ccd796ba81c9f84b74c9d5e920ecfdad86e0",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 03:59:59",
"date_to": "2024-05-02 03:59:58",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "fe55a5b77e00410eb374154aa867c16ce01a0237",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-02-02 03:59:59",
"date_to": "2024-05-02 03:59:58",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "e9abdce38f6e335b87f277e5e88700feaeb9156c",
"fqdn": "grafana.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-01-29 22:16:08",
"date_to": "2024-04-28 22:16:07",
"alternative_fqdn": ["grafana.ops.discolike.com"]
},
{
"sha1_fingerprint": "52c8a6f26ad1f4f166b39edb791bcda404cc629c",
"fqdn": "grafana.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-01-29 22:16:08",
"date_to": "2024-04-28 22:16:07",
"alternative_fqdn": ["grafana.ops.discolike.com"]
},
{
"sha1_fingerprint": "97fd2df221bc91f0364217f17bc89b4f2ad4a6be",
"fqdn": "healthchecks.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-01-18 20:16:55",
"date_to": "2024-04-17 20:16:54",
"alternative_fqdn": ["healthchecks.ops.discolike.com"]
},
{
"sha1_fingerprint": "4c33215118e3baaa40c0d9f8183ca92617c57244",
"fqdn": "healthchecks.ops.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-01-18 20:16:55",
"date_to": "2024-04-17 20:16:54",
"alternative_fqdn": ["healthchecks.ops.discolike.com"]
},
{
"sha1_fingerprint": "81fd56ab971183c6ff57005a79e99a523b96f264",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-01-12 17:49:27",
"date_to": "2024-04-11 17:49:26",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "a2bbe1a379fb904d06c71df82054d3e62435b02a",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-01-12 17:49:27",
"date_to": "2024-04-11 17:49:26",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "48f23f2be13f98948fdc9ae2402dfeb411672a6c",
"fqdn": "sandbox.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2024-01-08 19:39:41",
"date_to": "2024-04-07 19:39:40",
"alternative_fqdn": ["sandbox.discolike.com"]
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"sha1_fingerprint": "73fea4597fa7043ae55876b8b73653ff911a7c99",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-02-10 15:24:44",
"date_to": "2023-05-11 15:24:43",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "da40756ff1d96d2309b936636d91b4f9e649017c",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-02-10 15:24:44",
"date_to": "2023-05-11 15:24:43",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "f0a7484850c29b7f8ffb6df29d95c18f302f4c40",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-02-06 05:07:39",
"date_to": "2023-05-07 05:07:38",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "e84b6ffec7d2175966ac83273fa32bccd7132ed2",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-02-06 05:07:39",
"date_to": "2023-05-07 05:07:38",
"alternative_fqdn": ["discolike.com"]
},
{
"sha1_fingerprint": "ec87ade5234d53199af457f39adb7fbf7000b90f",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-02-06 05:07:38",
"date_to": "2023-05-07 05:07:37",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "b333ca8297ed79e4276b00f1b56da237d755c6a9",
"fqdn": "www.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-02-06 05:07:38",
"date_to": "2023-05-07 05:07:37",
"alternative_fqdn": ["www.discolike.com"]
},
{
"sha1_fingerprint": "015ebcbb3f537db1b957bf7967fb959c978b29b4",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-01-10 17:45:34",
"date_to": "2023-04-10 17:45:33",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "610f457418ba83b7d3f72266f85f2aa430d98ec7",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2023-01-10 17:45:34",
"date_to": "2023-04-10 17:45:33",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "f142abe2cac452f8fee978701c9f3039a90284ed",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-12-24 17:15:45",
"date_to": "2023-03-24 17:15:44",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
},
{
"sha1_fingerprint": "203f8f64065c96d590dbd7e24108eb6f9adb305a",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-12-24 17:15:45",
"date_to": "2023-03-24 17:15:44",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
},
{
"sha1_fingerprint": "a6269b20b28ebe8f8c4cd70eb563164d49117b13",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-11-18 15:27:14",
"date_to": "2023-02-16 15:27:13",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "14c6b0d95da624ffd45d3d4a9f076e709aae81ac",
"fqdn": "api.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-11-18 15:27:14",
"date_to": "2023-02-16 15:27:13",
"alternative_fqdn": ["api.discolike.com"]
},
{
"sha1_fingerprint": "6c19c4608c5f5a5410a3d9a5cd7019dff637b3d5",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-10-19 04:23:13",
"date_to": "2023-01-17 04:23:12",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
},
{
"sha1_fingerprint": "1a6a7e82979465433120083a97d352bce7c6e3c6",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-10-19 04:23:13",
"date_to": "2023-01-17 04:23:12",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
},
{
"sha1_fingerprint": "e0a825a73206cb915e87bd625f8f6ecafbb440d7",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-10-18 18:19:20",
"date_to": "2023-01-16 18:19:19",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "39613b600b11450665171031b49ffdd27870c11f",
"fqdn": "api-dev.discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-10-18 18:19:20",
"date_to": "2023-01-16 18:19:19",
"alternative_fqdn": ["api-dev.discolike.com"]
},
{
"sha1_fingerprint": "4805a7d4e994a0cad12f22675daa75e582912b5b",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-04-19 04:57:03",
"date_to": "2022-07-18 04:57:02",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
},
{
"sha1_fingerprint": "d564fc105d6e085d5a0f0d81f24ce65e37367b1a",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-04-19 04:57:03",
"date_to": "2022-07-18 04:57:02",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
},
{
"sha1_fingerprint": "91f17ab481d96374987709fa89b4a3d4b463fc12",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-02-17 17:40:13",
"date_to": "2022-05-18 17:40:12",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
},
{
"sha1_fingerprint": "3f5d27ede8947644b3c0a9ad2d3c0a3b00e89ed0",
"fqdn": "discolike.com",
"organization": null,
"city": null,
"state": null,
"country": null,
"date_from": "2022-02-17 17:40:13",
"date_to": "2022-05-18 17:40:12",
"alternative_fqdn": ["discolike.com", "www.discolike.com"]
}
]
}
This API endpoint returns historical and current SSL certificates for the domain. The API returns a maximum of 10,000 unique fingerprints. The API removes subdomains from the input domain.
HTTP Request
GET https://api.discolike.com/v1/history
Query Parameters
| Parameter | Description |
|---|---|
| domain | Domain to investigate. |
Response Fields
| Field | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| certificates | Array[CertificateObject] | Set of objects, each representing a certificate for the queried domain. |
| sha1_fingerprint | String | The SHA-1 fingerprint of a certificate (SHA-1 digest value of the certificate's DER representation). |
| fqdn | String | Fully Qualified Domain Name for the certificate, as appears in the certificate's subject. |
| alternative_fqdn | Array[String] | Additional Fully Qualified Domain Name for the certificate, as appears in the certificate's Subject Alternative Name. |
| organization | String | Organization information for the certificate, as appears in the certificate's subject. |
| city | String | City information for the certificate, as appears in the certificate's subject. |
| state | String | State information for the certificate, as appears in the certificate's subject. |
| country | String | Country information for the certificate, as appears in the certificate's subject. |
| date_from | DateTime (YYYY-MM-DD HH:MM:SS) | The earliest validity time of the certificate. |
| date_to | DateTime (YYYY-MM-DD HH:MM:SS) | The latest validity time of the certificate. |
Match API
curl "https://api.discolike.com/v1/match?name=discolike&country=US" \
-H "x-discolike-key: API_KEY"
The API will return a JSON structured as follows:
{
"query": {
"name": "discolike",
"country": "US"
},
"matches": [
{
"domain": "discolike.com",
"name": "DiscoLike Inc",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 86,
"start_date": "2022-02-17",
"end_date": null,
"address": {
"street": null,
"city": null,
"state": "CA",
"zip": null,
"country": "US"
},
"phones": ["+16503957610"],
"public_emails": ["info@discolike.com"],
"domain_associations": [],
"social_urls": [
"https://www.facebook.com/people/discolike/100089380786422/",
"https://www.linkedin.com/company/discolike/"
],
"redirect_domain": null,
"linkup": [],
"description": "Summary: DiscoLike is a data-as-a-service company specializing in the acquisition of global company data from SSL certificates and related business websites . The most complete business domain directory, complemented by firmographics, subsidiary linkage, and natural language or lookalike search capabilities .",
"keywords": {
"business discovery": 0.63,
"identifying business": 0.51,
"business domains": 0.51,
"business directory": 0.5,
"business linkages": 0.5,
"discovery b2b": 0.5,
"prospect search": 0.49,
"business websites": 0.47,
"business prospect": 0.47,
"company data": 0.43,
"b2b home": 0.42,
"keywords industry": 0.41,
"documentation careers": 0.39,
"linkage api": 0.39,
"lookalike search": 0.37
},
"industry_groups": {
"SOFTWARE": 0.84,
"IT_SERVICES": 0.07
},
"update_date": "2024-08-06",
"match_confidence": 100
}
]
}
Pairs a company name, augmented by location and contact info if available, with our business domain profiles. Returns multiple potential matches ranked by relevance, with the most likely match listed first.
HTTP Query
POST https://api.discolike.com/v1/match
Query Parameters
| Parameter | Description |
|---|---|
| name | The company name to match. |
| country | The country to augment the search, provided as a two-letter ISO-3166-2 country code. This field is optional. If no results are found in the specified country, it will be omitted. |
| state | The state to augment the search, specified as a two-letter US state code. This field is optional. If no results are found in the specified state, it will be omitted. |
| city | City to augment by. This field is optional; If results are not found in this city, it will be omitted |
| zip_code | The zip code to augment the search. This field is optional. If no results are found in the specified zip code, it will be omitted. |
| phone | The phone number to augment the search. It can be in international E.164 format (+1xxxxxxxxx) or a local format if the country is specified. If the phone number is incorrect (e.g., wrong area code), it will be omitted. This field is optional. If no results are found using the phone number, it will be omitted. |
Response Fields
| Field | Format | Description |
|---|---|---|
| query | object | The query parameters used to search for the company, excluding omitted fields. |
| matches | array | An array of BizData profiles as described in the BizData API, with additional field match_confidence" |
| match_confidence | integer | The confidence level of the match, ranging from 0 to 100. A confidence level of 100 indicates a perfect match. |
BulkMatch API
curl --form file='@data_file.csv' "https://api.discolike.com/v1/bulkmatch?name_column=name" \
-H "x-discolike-key: API_KEY"
In this example, input file data_file.csv is a CSV file with the following data:
name
discolike
The initial request will return a task_id that can be used to check the status of the task. This task_id will be used to check the status of the task and retrieve the results.
{
"task_id": "e362cb75-35e2-4006-a239-3d87a7472872"
}
The task_id can be used to check the status of the task:
curl "https://api.discolike.com/v1/bulkmatch/status/e362cb75-35e2-4006-a239-3d87a7472872" \
-H "x-discolike-key: API_KEY"
{
"status": "in_progress",
"progress": 30
}
The final response will contain the result of the task:
{
"status": "completed",
"progress": 100,
"result": [
{
"input:name": "discolike",
"domain": "discolike.com",
"match_confidence": 100,
"name": "DiscoLike Inc",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 86,
"start_date": "2022-02-17",
"end_date": null,
"address": {
"street": null,
"city": null,
"state": "CA",
"zip": null,
"country": "US"
},
"phones": ["+16503957610"],
"public_emails": ["info@discolike.com"],
"domain_associations": [],
"social_urls": [
"https://www.facebook.com/people/discolike/100089380786422/",
"https://www.linkedin.com/company/discolike/"
],
"redirect_domain": null,
"linkup": [],
"description": "Summary: DiscoLike is a data-as-a-service company specializing in the acquisition of global company data from SSL certificates and related business websites . The most complete business domain directory, complemented by firmographics, subsidiary linkage, and natural language or lookalike search capabilities .",
"keywords": {
"business discovery": 0.63,
"identifying business": 0.51,
"business domains": 0.51,
"business directory": 0.5,
"business linkages": 0.5,
"discovery b2b": 0.5,
"prospect search": 0.49,
"business websites": 0.47,
"business prospect": 0.47,
"company data": 0.43,
"b2b home": 0.42,
"keywords industry": 0.41,
"documentation careers": 0.39,
"linkage api": 0.39,
"lookalike search": 0.37
},
"industry_groups": {
"SOFTWARE": 0.84,
"IT_SERVICES": 0.07
},
"update_date": "2024-08-06"
}
]
}
Matches a list of company names, augmented by location and contact info if available, with our business domain profiles. Returns a single match for each company name.
HTTP Query
POST https://api.discolike.com/v1/bulkmatch
Query Parameters
| Parameter | Description |
|---|---|
| name_column | The column name in the input file that contains the company names to match. |
| country_column | The column name in the input file that contains the country to augment the search, provided as a two-letter ISO-3166-2 country code. This field is optional. If no results are found in the specified country, it will be omitted. |
| state_column | The column name in the input file that contains the state to augment the search, specified as a two-letter US state code. This field is optional. If no results are found in the specified state, it will be omitted. |
| city_column | The column name in the input file that contains the city to augment the search. This field is optional; If results are not found in this city, it will be omitted. |
| zip_code_column | The column name in the input file that contains the zip code to augment the search. This field is optional. If no results are found in the specified zip code, it will be omitted. |
| phone_column | The column name in the input file that contains the phone number to augment the search. It can be in international E.164 format (+1xxxxxxxxx) or a local format if the country is specified. This field is optional. If no results are found using the phone number, it will be omitted. |
Response
| Name | Format | Description |
|---|---|---|
| task_id | String | The ID of the task. |
HTTP Request
GET https://api.discolike.com/v1/bulkmatch/status/{task_id}
Query Parameters
| Parameter | Description |
|---|---|
| task_id | The ID of the task. |
Response
The API returns an array of BizData profiles as described in the BizData API, with the additional fields below:
| Name | Format | Description |
|---|---|---|
| status | String | The status of the task. one of the following : "in_progress","completed", "failed" |
| progress | Integer | The progress (%) of the task. |
| result | Object | The result of the task if successful or error message otherwise |
| input:xxx | string | Original columns from the provided file, prefixed with "input:" |
| match_confidence | integer | The confidence level of the match, ranging from 0 to 100. A confidence level of 100 indicates a perfect match. |
Metrics API
curl "https://api.discolike.com/v1/metrics?domain=www.discolike.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"domain": "discolike.com",
"date_from": "2022-02-17 17:40:13",
"date_to": "2022-11-16 04:49:55",
"lookback_all": 8,
"lookback_360": 8,
"lookback_720": 8
}
This API endpoint returns aggregated domain metrics for a normalized domain name. The API removes subdomains from the input domain before calculating the metrics.
HTTP Request
GET https://api.discolike.com/v1/metrics
Query Parameters
| Parameter | Description |
|---|---|
| domain | Domain to investigate. |
Response Fields
| Field | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| date_from | DateTime (YYYY-MM-DD HH:MM:SS) | The earliest validity time in our dataset for this domain or any of it's subdomains. |
| date_to | DateTime (YYYY-MM-DD HH:MM:SS) | The latest validity time in our dataset for this domain or any of its subdomains. |
| lookback_all | Unsigned Int32 | Total registration events for the normalized domain name, starting from date_from. |
| lookback_360 | Unsigned Int32 | Total registration events for the normalized domain name in the last 360 days. |
| lookback_720 | Unsigned Int32 | Total registration events for the normalized domain name in the last 720 days. |
PublicLink API
curl "https://api.discolike.com/v1/publiclink?domain=marriott.com&source=email" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
[
{
"domain": "marriott.com",
"linked_domain": "backtobrunch.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "castirongrill.co.uk",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "chalkboardokc.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "chalkboardtulsa.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "chandris.gr",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "chioschandrishotel.gr",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "cielaresort.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "com.ru",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "cottagesatlidohouse.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "curatedbyjw.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "elytonhotel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "evolutionoftravel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "fancypacket.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "feinsteinshc.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosehotel.ca",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosehotel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosehotelmontreal.ca",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosehotelmontreal.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosemontreal.ca",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosemontreal.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosemtl.ca",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "honeyrosemtl.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "hotaya.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "hoteldrover.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "hotelhoneyrose.ca",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "hotelhoneyrose.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "hotelpdn.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "journeygreece.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "koepelkerk.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "lasalle-hotel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "lidohousehotel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "livelaville.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "londontastecollective.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "mariott.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.co.jp",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.co.kr",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.co.uk",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.com.br",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.com.cn",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.de",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.fr",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.it",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriott.pt",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriottfrankfurtairporthotels.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriottgolf.co.uk",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriottgroupbooking.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriottmiddleeastafrica.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "marriottweekends.co.uk",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "matadorroom.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "mi-perftest1.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "miluxsuites.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "morecravings.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "okeanosspaaruba.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "parkingsandiegoairport.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "ramadanwithmarriott.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "randtowerhotel.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "renaissancearubaspa.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "renaissancehotel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "renhotels.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "renmeetings.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "ritzcarltonhkshop.com.hk",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "ritzcarltonshops.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "runyalodge.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "rysehotel.co.kr",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "sarabihotels.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "shoptheritzcarlton.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "stonebriarweddings.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "tableresmarriott.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "tchaikovsky.ee",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "telegraafhotel.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "telegraafhotel.ee",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "theamericanreserve.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "thechalkboard-tulsa.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "thechalkboardkitchenandbar.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "theforestofarden.co.uk",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "thehoneyrose.ca",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "thehoneyrosehotel.ca",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "thehoneyrosehotel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "themeruhouse.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "themethotel.gr",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "thesouthlakehotel.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "theyardbarandgrillbaltimore.com",
"link_values": ["marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "towneplace.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "towneplacesuites.com",
"link_values": ["privacy@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "traveloffers.me",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "travelwithmarriott.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
},
{
"domain": "marriott.com",
"linked_domain": "wresidencescairo.com",
"link_values": ["privacy@marriott.com", "marriottdpo@marriott.com"],
"record_date": "2024-07-17"
}
]
Connect and group multiple business websites based on shared public contact information such as social links, phone numbers, and emails.
HTTP Request
GET https://api.discolike.com/v1/publiclink
Query Parameters
| Parameter | Description |
|---|---|
| domain | Domain to discover linkage for. |
| source | Linkage source, pick from the list of sources listed below:
|
Response Fields
| Field | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| linked_domain | String | Normalized linked domain. |
| link_values | Array[String] | Complementary information to help understand linkage source. |
Realm API
curl "https://api.discolike.com/v1/realm/www.discolike.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"domains": ["discolike.com", "www.discolike.com"]
}
This API endpoint returns up to 1000 unique fully qualified domain names (FQDNs) and alternative domains that are linked with the normalized domain. A fully qualified domain name is a domain name that includes the top-level domain (TLD). An alternative domain is a domain name that is not the primary domain name for a website.
HTTP Request
GET https://api.discolike.com/v1/realm/<DOMAIN>
Query Parameters
| Parameter | Description |
|---|---|
| DOMAIN | Domain to investigate. |
Response Fields
| Field | Format | Description |
|---|---|---|
| domains | Array[String] | Set of domains linked to the normalized domain. |
Redirects API
curl "https://api.discolike.com/v1/redirects?domain=twitter.com&match=source" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
[
{
"source_domain": "twitter.com",
"source_fqdn": "twitter.com",
"linked_domain": "x.com",
"linked_fqdn": "x.com",
"record_date": "2024-07-02"
}
]
The Redirects API retrieves domains of a company’s redirects using information from our Redirect Domain Dataset
Query Parameters
| Parameter | Description |
|---|---|
| domain | Query domain. |
| match | The domain in the Redirects dataset to match against. Pick from the list of options listed below:
|
Response Fields
| Field | Format | Description |
|---|---|---|
| source_domain | String | Normalized domain name (excluding any subdomain). |
| source_fqdn | String | The source FQDN used to establish domain linkages within this dataset. |
| linked_domain | String | Normalized linked domain name (excluding any subdomain). |
| linked_fqdn | String | The linked FQDN used to establish domain linkages within this dataset. |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
References API
curl "https://api.discolike.com/v1/references?domain=www.youtube.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"domains": {
"google.com": [
"*.gdata.youtube.com",
"*.corp.youtube.com",
"www.creatoracademy.youtube.com",
"*.upload.youtube.com",
"creatoracademy.youtube.com",
"cctldtest.youtube.com",
"*.youtube.com",
"upload.youtube.com",
"*.cctldtest.youtube.com",
"uploads.stage.gdata.youtube.com",
"usercontent.youtube.com",
"youtube.com",
"*.sandbox.youtube.com",
"*.usercontent.youtube.com",
"*.c.youtube.com",
"*.consent.corp.youtube.com"
],
"googleapis.com": ["payments.youtube.com"]
}
}
This API endpoint returns up to 100 other domains that reference the query domain, alongside the fully qualified domain names (FQDNs) referenced. A domain reference is a link from one domain to another. The API returns a list of all the domains that link to the query domain, along with the FQDNs on the query domain that are being referenced.
HTTP Request
GET https://api.discolike.com/v1/realm
Query Parameters
| Parameter | Description |
|---|---|
| DOMAIN | Domain to investigate. |
Response Fields
| Field | Format | Description |
|---|---|---|
| domains | Array[DomainObjects] | Set of objects, each representing a domain that references the queried domain and an array of FQDNs included in that reference |
Score API
curl "https://api.discolike.com/v1/score?domain=google.com" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
{
"domain": "google.com",
"score": 657,
"parameters": {
"base_score": 700,
"recency_multiplier": 1,
"growth_boost": -42.78,
"lookback_360": 14796,
"lookback_720": 190199,
"expiration_penalty": 1
},
"first_event": "2006-03-01"
}
This API endpoint returns a domain score for the normalized domain. The API removes subdomains from the input domain.
Domain score is a company digital wellness index. It reflects company size and time in business and the embracement of internet and cloud technologies, products, and integrations. This score is in the range [0,999] (higher is better) and is based on the past ten years of certificate history.
Methodology
Parameters
| Symbol | Name | Notes |
|---|---|---|
| ΔT | Days since the first certificate was issued in the last 3 years | certificates with a validity period over three years are ignored |
| ε | Recency Penalty multiplier | Decreases score in case of all company certificates were created in the current year |
| |Cy| | Number of certificates generated in a year | |
| βcerts | Baseline Certificate Number | Calculated number of certificates expected for a business |
| βpt | Baseline points | The number of points to be awarded for a year (distribution of points between years is not uniform) |
| τ | Market Coefficient | Establishes a more accurate baseline for each specific market |
| Ω360 | Lookback 360 | Number of certificates generated in the past 360 days |
| Ω720 | Lookback 720 | Number of certificates generated between 720 and 360 days. |
| β | Base score | The baseline score for the domain provided over ten years |
| θ | Growth points | Points awarded for growth, currently static at 50 |
| φ | Growth boost | Year-over-year growth metric |
| Δτ | Days until the expiration of certificate | |
| λd | Expiration penalty range | Range is in days (currently static at 14 days) |
| λ | Expiration penalty | Decreases score in case of the average expiration period of currently valid certificates has passed by more than λd |
Calculation Method
Recency Penalty Multiplier (ε)
$${ε}=min(\frac{ΔT}{365}, 1)$$
Base Score (β)
$${β}=\sum_{y=1}^{10}\left(min(\frac{|Cy|}{βcerts}, 1)\cdot{βpt}\cdot{τ}\cdot(0.4 + 0.5 \cdot \exp{\left(\frac{(x - 6)^2}{8}\right)} + 0.05 \cdot (x - 1))\right)$$
Growth Sign (θsig)
$$(Ω360\geΩ720\rightarrow θsign=1)\wedge(Ω360<Ω720\rightarrow θsign=-1)$$
Growth Boost (φ)
$${φ}=\frac{Ω360-Ω720}{Ω360+Ω720}\cdot{θ}$$
Expiration Penalty (λ)
$${λ}=μ(min\left(\frac{Δτ+λd}{λd}, 1\right))$$
Final Score
$${Score}=({β\cdotε}+{φ})\cdotλ$$
HTTP Request
GET https://api.discolike.com/v1/score
Query Parameters
| Parameter | Description |
|---|---|
| domain | Domain to investigate. |
Response Fields
| Field | Format | Description |
|---|---|---|
| domain | String | Normalized domain name (excluding any subdomain). |
| score | Unsigned Int32 | Final calculated score. |
| first_event | Date (YYYY-MM-DD) | Date of first registration event. |
| confidence | Decimal (1,2) | Confidence score for classification label. |
| parameters | Array[ParameterObjects] | Set of calculation parameters as described in the parameters section. |
| base_score | Decimal (3,2) | The baseline score for the domain provided over 10 years (β). |
| recency_multiplier | Decimal(1,2) | Decreases score in case of all company certificates were created in the current year (ε). |
| growth_boost | Decimal(3,2) | Increases score if the number of certificates opened in the last 360 days is greater than those opened 2 years before or decreases one if vice versa (φ). |
| expiration_penalty | Decimal(1,2) | Decreases score in case of the average expiration period of currently active certificates is less than λd (λ). |
| lookback_360 | Unsigned Int32 | Number of certificates generated in the past 360 days (Ω360). |
| lookback_720 | Unsigned Int32 | Number of certificates generated between 720 and 360 days (Ω720).lookback_720 |
Segment API
curl --form file='@data_file.csv' "https://api.discolike.com/v1/segment" \
-H "x-discolike-key: API_KEY"
In this example, input file data_file.csv is a CSV file with the following data:
domain
1password.com
activtrak.com
anaplan.com
aquasec.com
betterup.com
beyondidentity.com
bugcrowd.com
conduent.com
crowdstrike.com
duo.com
f5.com
five9.com
jumpcloud.com
nexthink.com
oneidentity.com
pondurance.com
secureworks.com
sentinelone.com
snyk.io
splunk.com
The initial request will return a task_id that can be used to check the status of the task. This task_id will be used to check the status of the task and retrieve the results.
{
"task_id": "e362cb75-35e2-4006-a239-3d87a7472872"
}
The task_id can be used to check the status of the task:
curl "https://api.discolike.com/v1/segment/status/e362cb75-35e2-4006-a239-3d87a7472872" \
-H "x-discolike-key: API_KEY"
{
"status": "in_progress",
"progress": 30
}
The final response will contain the result of the task:
{
"status": "completed",
"progress": 100,
"result": [
{
"domain": "bugcrowd.com",
"name": "Bugcrowd",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 386,
"start_date": "2013-03-17",
"end_date": null,
"address": {
"street": "300 Commerce Drive",
"city": "Bedford",
"state": "NH",
"zip": "03110",
"country": "US"
},
"phones": ["+18883619734"],
"public_emails": [
"sales@bugcrowd.com",
"gc@bugcrowd.com",
"press@bugcrowd.com",
"GC@bugcrowd.com"
],
"domain_associations": [
"bgcd.co",
"bugcrowd-cs.com",
"bugcrowd.co.in",
"compocbugcrowd.online",
"levelup.sh",
"luxberanicantik.com",
"sedcuinelectric.com",
"stateofbugbounty.com"
],
"social_urls": [
"https://twitter.com/bugcrowd",
"https://www.facebook.com/bugcrowd",
"https://www.instagram.com/bugcrowd/",
"https://www.linkedin.com/company/bugcrowd",
"https://www.linkedin.com/company/bugcrowd/",
"https://x.com/bugcrowd"
],
"redirect_domain": null,
"linkup": [],
"description": "Bugcrowd teams with elite security researchers to reduce risk & improve security ROI through our bug bounty, pen testing, & vulnerability disclosure programs.",
"keywords": {
"crowdsourced cybersecurity": 0.65,
"security bugcrowd": 0.62,
"bugcrowd hackers": 0.58,
"bugcrowd security": 0.58,
"crowdsourced security": 0.57,
"bugcrowd platform": 0.56,
"attacks bugcrowd": 0.54,
"security marketplace": 0.54,
"security dev": 0.53,
"monitoring bugcrowd": 0.52,
"innovation bugcrowd": 0.5,
"cybersecurity platform": 0.5,
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"global payroll": 0.28
},
"industry_groups": {
"BUSINESS_PRODUCTS_AND_SERVICES": 0.48,
"IT_SERVICES": 0.38
},
"update_date": "2024-08-21",
"segment_id": 1,
"probability": 0.78,
"segment_description": "Employee Performance and Productivity Solutions",
"confidence": 1.0,
"street": null,
"city": "Dutch",
"state": null,
"zip": null,
"country": "GB"
},
{
"domain": "duo.com",
"name": "Cisco Duo",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 482,
"start_date": "2015-03-27",
"end_date": null,
"address": {
"street": "123 North Ashley Street",
"city": "Ann Arbor",
"state": "MI",
"zip": "48104",
"country": "US"
},
"phones": [
"+14089062726",
"+18337742726",
"+18667604247",
"+318000221924",
"+3280026785",
"+33805084325",
"+34900839076",
"+448003585309",
"+4580820215",
"+4780024737",
"+498007234781"
],
"public_emails": ["securitypr@cisco.com"],
"domain_associations": [
"a33fc97bdc835f0bb689f166e2d6282e.me",
"chefschoices.ru",
"claimgrow.com",
"decipher.sc",
"didigetgawkered.com",
"duo.sc",
"duo2fa.com",
"duofederal.com",
"duosec.ch",
"duosec.org",
"duosecurity.co.uk",
"duosecurity.com",
"duosetup.com",
"jinfengdu.com",
"linxscom.net",
"quirchfoods.co",
"rekey.io",
"sciosecurity.com",
"spaceguid.com",
"system-notifications.com",
"vpnhunter.com",
"women-in-security.com",
"xray.io",
"youthefinance.com"
],
"social_urls": [
"https://twitter.com/duosec",
"https://www.facebook.com/duosec",
"https://www.facebook.com/duosec/",
"https://www.instagram.com/duosec/",
"https://www.linkedin.com/company/duo-security/",
"https://www.twitter.com/duosec",
"https://www.youtube.com/user/duosec"
],
"redirect_domain": null,
"linkup": ["duosecurity.com"],
"description": "Summary: Duo provides secure access to any application with a broad range of capabilities . Duo's security is customizable, easy to set up and simple to use, making it the perfect solution for a wide range of industries . Security is part of Cisco Security — find out how we make global security resilience easier than ever .",
"keywords": {
"authentication duo": 0.72,
"duo security": 0.66,
"passwordless duo": 0.57,
"access duo": 0.56,
"cisco duo": 0.56,
"duo privacy": 0.55,
"authentication device": 0.54,
"duo features": 0.54,
"mfa security": 0.53,
"sso duo": 0.52,
"duo passport": 0.52,
"duo integrations": 0.52,
"duo enterprise": 0.51,
"cisco identity": 0.51,
"passport cisco": 0.48
},
"industry_groups": {
"SECURITY": 0.98
},
"update_date": "2024-08-30",
"segment_id": 2,
"probability": 1.0,
"segment_description": "Identity and Access Management Solutions",
"confidence": 1.0,
"street": "123 North Ashley Street",
"city": "Ann Arbor",
"state": "MI",
"zip": "48104",
"country": "US"
},
{
"domain": "beyondidentity.com",
"name": "Beyond Identity",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 222,
"start_date": "2020-04-21",
"end_date": null,
"address": {
"street": "3 Park Avenue",
"city": "New York",
"state": "NY",
"zip": null,
"country": "US"
},
"phones": ["+12126530847"],
"public_emails": [],
"domain_associations": [
"beyondpingfed.com",
"byndid.com",
"passkey.how",
"zeropw.com",
"zeropwd.com"
],
"social_urls": [
"https://twitter.com/beyondidentity",
"https://www.linkedin.com/company/beyond-identity-inc/",
"https://www.youtube.com/c/BeyondIdentity"
],
"redirect_domain": null,
"linkup": ["jasper.com"],
"description": "The only secure-by-design Secure Access Platform. Eliminates access risks with SSO, Zero-Trust Identity architecture, phish-resistant MFA, Device Trust and Passwordless capabilities. The secure alternative to Okta, Microsoft Entra, Google MFA, and more.",
"keywords": {
"identity security": 0.61,
"secure mfa": 0.59,
"identity secure": 0.57,
"secure authentication": 0.54,
"mfa vs": 0.54,
"secure sso": 0.53,
"mfa sso": 0.53,
"difference secure": 0.51,
"authentication focus": 0.5,
"plus security": 0.46,
"security collaboration": 0.46,
"secure workforce": 0.46,
"twin auth": 0.46,
"identity lifecycle": 0.45,
"factors auth": 0.44
},
"industry_groups": {
"SECURITY": 0.78,
"SOFTWARE": 0.18
},
"update_date": "2024-08-27",
"segment_id": 2,
"probability": 1.0,
"segment_description": "Identity and Access Management Solutions",
"confidence": 1.0,
"street": "3 Park Avenue",
"city": "New York",
"state": "NY",
"zip": null,
"country": "US"
},
{
"domain": "1password.com",
"name": "1Password",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 292,
"start_date": "2016-07-15",
"end_date": null,
"address": {
"street": "2024 Yonge St",
"city": "North York",
"state": "ON",
"zip": "M2N 6K8",
"country": "CA"
},
"phones": [],
"public_emails": [
"dsar@1password.com",
"privacy@1Password.com",
"support@1password.com",
"privacy@1password.com"
],
"domain_associations": [
"1pass.world",
"1passward.com",
"1passwd.com",
"1passwd.net",
"1password.ca",
"1password.cc",
"1password.ch",
"1password.cn",
"1password.co",
"1password.eu",
"1password.in",
"1password.io",
"1password.li",
"1password.net",
"1password.one",
"1passwordbusiness.com",
"1passwordenterprise.com",
"1passwordfamilies.com",
"1passwords.eu",
"1passwordsucks.com",
"1passwordteams.com",
"1passwordunlocked.com",
"1passwordusercontent.com",
"1passwrod.com",
"1pw.app",
"1pw.ca",
"1pw.co",
"1pw.dev",
"agile.ws",
"agilebits.ca",
"agilebits.co",
"agilebits.co.uk",
"agilebits.com",
"agilebits.org",
"agilebits.us",
"agilequbits.com",
"agilewebsolutions.com",
"awesomekb.com",
"business-password-manager.com",
"cleteci.com",
"dnsforcheck.com",
"ipassword.ca",
"ipassword.com",
"ipassword.de",
"ipassword.eu",
"iphonepasswordmanager.com",
"keylocker.eu",
"keylocker.nl",
"leeroy.pw",
"my-1password.com",
"my1password.ca",
"my1password.eu",
"myprivatedata.ca",
"netcompany123.dk",
"neurospark.org",
"nytpassword.dk",
"onepasswd.com",
"onepassword.ca",
"onepassword.com",
"onepasswordsucks.com",
"palmsphere.com",
"passage.id",
"password-business.com",
"passwordmanagerformac.com",
"passwords-generator-online.com",
"passwordteam.com",
"roustem.net",
"roustem.org",
"secrethub.io",
"secure-passwords-generator.com",
"securepasswordsgenerator.com",
"switchersblog.com",
"team-password-manager.com",
"tooagile.com",
"web-password-manager.com",
"work4work.org"
],
"social_urls": [
"https://twitter.com/1password",
"https://www.facebook.com/1password",
"https://www.instagram.com/1password/",
"https://www.instagram.com/1passwordofficial/",
"https://www.linkedin.com/company/1password/",
"https://www.youtube.com/1PasswordVideos"
],
"redirect_domain": null,
"linkup": ["1pw.ca"],
"description": "A password manager, digital vault, form filler, and secure digital wallet. Manage everything in one secure place – 1Password remembers all your passwords and sensitive information, so you don't have to.",
"keywords": {
"password management": 0.69,
"security 1password": 0.66,
"password managers": 0.65,
"1password security": 0.65,
"secure 1password": 0.64,
"1password introducing": 0.62,
"business 1password": 0.61,
"1password store": 0.61,
"management password": 0.61,
"unlock 1password": 0.6,
"access management": 0.6,
"password provides": 0.6,
"1password internet": 0.59,
"manager 1password": 0.57,
"enterprise security": 0.51
},
"industry_groups": {
"SOFTWARE": 0.56,
"SECURITY": 0.37
},
"update_date": "2024-08-24",
"segment_id": 2,
"probability": 1.0,
"segment_description": "Identity and Access Management Solutions",
"confidence": 1.0,
"street": "2024 Yonge St",
"city": "North York",
"state": "ON",
"zip": "M2N 6K8",
"country": "CA"
},
{
"domain": "oneidentity.com",
"name": "One Identity",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 324,
"start_date": "2016-08-10",
"end_date": null,
"address": {
"street": null,
"city": null,
"state": "CA",
"zip": null,
"country": "US"
},
"phones": ["+18888204606", "+18003069329"],
"public_emails": [
"privacy@quest.com",
"webmaster@quest.com",
"VendorProfiles@oneidentity.com",
"listmaster@quest.com",
"AccountsPayable@oneidentity.com"
],
"domain_associations": [
"activeentry.com",
"balabit.com",
"balabit.hu",
"bitkoo.com",
"camdemo.co.uk",
"datagrail.io",
"defender5.com",
"directoryexpertsconference.com",
"e-dmzsecurity.com",
"edmz.com",
"one-identity-platform.com",
"one-identity-solutions.com",
"powergui.org",
"powershellcommunity.org",
"quest.com",
"symlabs.com",
"theexpertscommunity.com",
"trydefender.com",
"wedgetail.com"
],
"social_urls": [
"https://twitter.com/oneidentity",
"https://www.facebook.com/oneid",
"https://www.facebook.com/oneid/",
"https://www.linkedin.com/company/10968029",
"https://www.linkedin.com/company/10968029/",
"https://www.linkedin.com/company/one-identity/",
"https://www.youtube.com/c/OneIdentity"
],
"redirect_domain": null,
"linkup": ["jtech.cc"],
"description": "Summary: One Identity provides modern identity solutions essential in an era marked by the proliferation of human and machine identities, rapid migration to the cloud and the rise of remote work . One Identity protects and unifies the four core elements of identity security: Identity Governance and Administration (IGA), Access Management (AM), Privileged Access Management",
"keywords": {
"identity management": 0.7,
"identity security": 0.67,
"identity manager": 0.67,
"identity access": 0.67,
"security identity": 0.6,
"identity onelogin": 0.6,
"microsoft identity": 0.57,
"identity password": 0.55,
"identity provides": 0.53,
"identity customer": 0.53,
"identity page": 0.51,
"privileged accounts": 0.51,
"cloud identity": 0.51,
"secure enterprise": 0.48,
"cybersecurity trends": 0.43
},
"industry_groups": {
"SECURITY": 0.99
},
"update_date": "2024-08-30",
"segment_id": 2,
"probability": 0.85,
"segment_description": "Identity and Access Management Solutions",
"confidence": 1.0,
"street": null,
"city": null,
"state": "CA",
"zip": null,
"country": "US"
},
{
"domain": "jumpcloud.com",
"name": "JumpCloud",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 477,
"start_date": "2013-08-02",
"end_date": null,
"address": {
"street": "361 Centennial Pkwy",
"city": "Louisville",
"state": "CO",
"zip": "80027",
"country": "US"
},
"phones": ["+17202405005", "+18552123122", "+442045719942"],
"public_emails": [],
"domain_associations": [
"affix.group",
"akzmail.com",
"apxdp.link",
"axaz.cloud",
"bec.systems",
"bindodhi.com",
"carscommerce.shop",
"codesso.com.br",
"compact-orb.ovh",
"donnell.cloud",
"felixforus.ca",
"grab.design",
"iuhmnhat.pro",
"jctest7.com",
"jctest8.com",
"jumpcloud-sso.com",
"jumpcloud.net",
"jumpclouduniversity.com",
"kha.nz",
"kudoshrewards.co.uk",
"kythera.link",
"mentorwesley.com.br",
"mindfulsolar.cloud",
"moov-staging.tools",
"moov.tools",
"mp3-downloadvideo.com",
"myki.com",
"publishings.co.uk",
"resmo.com",
"resmo.io",
"scaledagilenetwork.com",
"sec-auth02c.com",
"sharedrive.io",
"sonarsource.design",
"spotnana.us",
"zercurity.com"
],
"social_urls": [
"https://twitter.com/jumpcloud",
"https://www.facebook.com/pages/jumpcloud/517890504928642",
"https://www.linkedin.com/company/jumpcloud/",
"https://www.youtube.com/channel/UCV9U0J9zvop_Whyh-35M_xg"
],
"redirect_domain": null,
"linkup": ["lithium.com"],
"description": "JumpCloud's revolutionary directory unifies device and identity on Windows, Mac, and Linux with cloud based SSO, MDM, MFA, PAM, and more.",
"keywords": {
"jumpcloud capabilities": 0.68,
"jumpcloud sso": 0.66,
"practices jumpcloud": 0.65,
"jumpcloud cloud": 0.65,
"services jumpcloud": 0.64,
"technology jumpcloud": 0.64,
"platform jumpcloud": 0.63,
"use jumpcloud": 0.63,
"jumpcloud support": 0.63,
"build jumpcloud": 0.62,
"login jumpcloud": 0.61,
"operations jumpcloud": 0.61,
"costs jumpcloud": 0.59,
"cloud ldap": 0.49,
"active directory": 0.43
},
"industry_groups": {
"SOFTWARE": 0.62,
"IT_SERVICES": 0.15
},
"update_date": "2024-08-21",
"segment_id": 2,
"probability": 0.72,
"segment_description": "Identity and Access Management Solutions",
"confidence": 1.0,
"street": "361 Centennial Pkwy",
"city": "Louisville",
"state": "CO",
"zip": "80027",
"country": "US"
}
]
}
Organize your existing customers and inbound leads into distinct, meaningful groups based on their similarities to better understand and target your Ideal Customer Profile (ICP).
HTTP Request
POST https://api.discolike.com/v1/segment
Query Parameters
The file should be a CSV or Excel file with at least one column containing a list of domains to which data will be appended. The file may include additional columns, and if the domain column label is not provided, the API will attempt to autodetect the column containing the domain list.
| Parameter | Description |
|---|---|
| domain_column | The label of the column containing domains. If not provided, the API will attempt to autodetect the column. |
| max_segments | The maximum number of segments to create. This field is optional, by default number of segments is picked automatically |
Response
| Name | Format | Description |
|---|---|---|
| task_id | String | The ID of the task. |
HTTP Request
GET https://api.discolike.com/v1/segment/status/{task_id}
Query Parameters
| Parameter | Description |
|---|---|
| task_id | The ID of the task. |
Response
The API returns an array of BizData profiles as described in the BizData API, with the additional fields below:
| Name | Format | Description |
|---|---|---|
| status | String | The status of the task. one of the following : "in_progress","completed", "failed" |
| progress | Integer | The progress (%) of the task. |
| result | Object | The result of the task if successful or error message otherwise |
| segment_id | Integer | The ID of the segment to which the domain belongs. |
| segment_description | String | The description of the segment to which the domain belongs. |
| probability | Float | The probability of the domain belonging to the segment. |
SimRank API
curl --form file='@data_file.csv' "https://api.discolike.com/v1/simrank?domain=nvidia.com&nl_match=Manufacturor+of+equipment+for+machine+learning+graphic+cards+and+gpus" \
-H "x-discolike-key: API_KEY"
In this example, input file data_file.csv is a CSV file with the following data:
domain
amd.com
f5.com
duo.com
The API will return a JSON structured as follows:
[
{
"domain": "amd.com",
"name": "AMD",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 780,
"start_date": "2006-03-17",
"end_date": null,
"address": {
"street": null,
"city": "Santa Clara",
"state": "CA",
"zip": null,
"country": "US"
},
"phones": [],
"public_emails": [],
"domain_associations": [
"advancedmicrodevices.com",
"airserver.top",
"amd-athlon.com",
"amd-drivers.com",
"amd-elements.com",
"amd-indonesia.com",
"amd-singapore.com",
"amd.ai",
"amd.co.uk",
"amd.com.ar",
"amd.com.br",
"amd.com.cn",
"amd.com.co",
"amd.com.tw",
"amd.hu",
"amd.link",
"amd.ru",
"amd.us",
"amd50.com",
"amdassets.com",
"amdblokmaster.com",
"amdcoast2coast.com",
"amdcoasttocoast.com",
"amdcoasttwocoast.com",
"amdflames.org",
"amdgameeveryday.com",
"amdgameeveryholiday.com",
"amdman.xyz",
"amdryzencreators.com",
"amdryzenreviews.com",
"amdventures.com",
"amdyes.top",
"ati.com",
"ati.de",
"biwlearning-amd.com",
"compiler.engineer",
"coreofthecloud.com",
"deephi.com",
"drivers-amd.com",
"epyc.ml",
"falconcomputing.com",
"fireuser.com",
"geforcertx.com",
"genai.studio",
"gpuopen.com",
"ie9heartsapu.com",
"mipso.io",
"mipsology.com",
"mipsology.io",
"nod.ai",
"nvidiartx.com",
"nvidiax.com",
"outlook.com",
"pensando.io",
"radeon.com",
"radeon.com.ar",
"radeon.gg",
"ryzen.gg",
"service-amd.info",
"silexica.com",
"teamwolftech.pl",
"xilinx.com",
"xlnx.com"
],
"social_urls": [
"http://www.facebook.com/amd",
"https://twitter.com/amd",
"https://www.facebook.com/amd",
"https://www.instagram.com/amd",
"https://www.linkedin.com/company/amd",
"https://www.linkedin.com/company/amd/",
"https://www.youtube.com/user/amd?sub_confirmation=1"
],
"redirect_domain": null,
"linkup": ["lithium.com"],
"description": "Get the competitive edge for AI, data center, business computing solutions & gaming with AMD processors, graphics, FPGAs, Adaptive SOCs, & software.",
"keywords": {
"ryzen processors": 0.66,
"processors ryzen": 0.64,
"ryzen ai": 0.64,
"workstations ryzen": 0.62,
"desktops ryzen": 0.62,
"computing ryzen": 0.6,
"optimized amd": 0.6,
"business ryzen": 0.59,
"amd ryzentm": 0.59,
"processors edge": 0.58,
"embedded computing": 0.57,
"ai amd": 0.57,
"amd technology": 0.57,
"ml hardware": 0.56,
"processors radeon": 0.55
},
"industry_groups": {
"COMPUTER_HARDWARE_AND_SEMICONDUCTORS": 0.99
},
"update_date": "2024-06-14",
"similarity": 87
},
{
"domain": "f5.com",
"name": "NGINX",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 638,
"start_date": "2005-07-25",
"end_date": null,
"address": {
"street": "801 5Th Ave",
"city": "Seattle",
"state": "WA",
"zip": "98104",
"country": "US"
},
"phones": [
"+12062725555",
"+12062725556",
"+12062726500",
"+12062727969",
"+18443116885",
"+18558340367",
"+18663294253",
"+18888827535",
"+14155477054",
"+14158572864",
"+18009159122"
],
"public_emails": [
"f5.dpo@fieldfisher.com",
"j.becker@f5.com",
"info@f5.com",
"Diversityandinclusion@f5.com",
"globalgood@f5.com",
"F5TechnologyAllianceProgram@f5.com",
"hluka@we-worldwide.com"
],
"domain_associations": [
"acopia.com",
"acopianetworks.com",
"appshield.com",
"askf5.com",
"aspenmesh.io",
"bigip.com",
"bluefyre.io",
"crescendonetworks.com",
"defense.net",
"defenselabs.net",
"elasticauth.com",
"f5-sslorchestrator.com",
"f5.com.cn",
"f5.net",
"f5agility.com",
"f5agility.jp",
"f5corp.net",
"f5f5f5.cn",
"f5labs.com",
"f5mobile.com",
"f5net.cdmz",
"f5net.com",
"f5networks.co.jp",
"f5networks.co.uk",
"f5networks.com.br",
"f5networks.it",
"f5networks.jp",
"f5networks.net",
"f5se.ca",
"f5security.com",
"f5silverline.com",
"f5solutiondayberlin.de",
"f5tower.com",
"f5tower.net",
"f5train.com",
"f5training.com",
"f5trn.com",
"f5vpn.com",
"f5zoom.com",
"learnf5.com",
"lilac.cloud",
"lineratesystems.com",
"magnifire.com",
"modernapplication.id",
"myf5.com",
"netcelera.com",
"nginx.com",
"shapesecurity.com",
"siterequest.com",
"swanlabs-europe.com",
"thevirtualdc.com",
"threatstack.com",
"traffixsystems.com",
"uroam.com",
"vedge.io",
"ves.io",
"viprion.com",
"vk8.io",
"vk8s.io",
"voltconsole.io",
"volterra.io",
"volterramail.io",
"volterrasystems.com",
"voltkit.io",
"voltmesh.io",
"voltstack.io",
"wib.com"
],
"social_urls": [
"https://twitter.com/f5",
"https://twitter.com/nginx",
"https://www.facebook.com/f5incorporated",
"https://www.facebook.com/nginxinc",
"https://www.instagram.com/f5.global/",
"https://www.linkedin.com/company/f5/",
"https://www.linkedin.com/company/nginx",
"https://www.linkedin.com/company/nginx/",
"https://www.youtube.com/c/devcentral",
"https://www.youtube.com/user/f5networksinc",
"https://www.youtube.com/user/nginxinc"
],
"redirect_domain": null,
"linkup": ["lithium.com"],
"description": "F5 application services ensure that applications are always secure and perform the way they should—in any environment and on any device.",
"keywords": {
"services f5": 0.63,
"f5 global": 0.6,
"f5 support": 0.58,
"f5 distributed": 0.56,
"f5 microsoft": 0.55,
"services cloud": 0.55,
"f5 google": 0.54,
"distributed cloud": 0.54,
"protect f5": 0.53,
"ip f5": 0.53,
"devcentral f5": 0.53,
"premises cloud": 0.53,
"cloud edge": 0.52,
"cloud security": 0.5,
"apps myf5": 0.49
},
"industry_groups": {
"SECURITY": 0.95
},
"update_date": "2024-05-22",
"similarity": 84
},
{
"domain": "duo.com",
"name": "Cisco Duo",
"status": {
"status": "active",
"confidence": 1.0
},
"score": 479,
"start_date": "2015-03-27",
"end_date": null,
"address": {
"street": "123 North Ashley Street",
"city": "Ann Arbor",
"state": "MI",
"zip": "48104",
"country": "US"
},
"phones": [
"+14089062726",
"+18337742726",
"+18667604247",
"+318000221924",
"+3280026785",
"+33805084325",
"+34900839076",
"+448003585309",
"+4580820215",
"+4780024737",
"+498007234781"
],
"public_emails": ["securitypr@cisco.com"],
"domain_associations": [
"chefschoices.ru",
"decipher.sc",
"didigetgawkered.com",
"duo.sc",
"duo2fa.com",
"duofederal.com",
"duosec.ch",
"duosec.org",
"duosecurity.co.uk",
"duosecurity.com",
"duosetup.com",
"rekey.io",
"sciosecurity.com",
"vpnhunter.com",
"women-in-security.com",
"xray.io"
],
"social_urls": [
"http://www.pinterest.com/neatcompany/",
"http://www.youtube.com/user/duosec",
"https://twitter.com/duosec",
"https://www.facebook.com/duosec",
"https://www.facebook.com/duosec/",
"https://www.instagram.com/duosec/",
"https://www.linkedin.com/company/duo-security",
"https://www.linkedin.com/company/duo-security/",
"https://www.twitter.com/duosec",
"https://www.youtube.com/user/duosec"
],
"redirect_domain": null,
"linkup": ["duosecurity.com"],
"description": "Protect your workforce with Cisco Duo's industry leading suite of identity security solutions, Single Sign-On (SSO), and Multi-Factor Authentication (MFA).",
"keywords": {
"authentication duo": 0.75,
"duo security": 0.68,
"passwordless duo": 0.6,
"access duo": 0.58,
"duo privacy": 0.57,
"authentication device": 0.57,
"duo users": 0.56,
"login duo": 0.56,
"mfa security": 0.55,
"duo passport": 0.55,
"duo features": 0.54,
"sso duo": 0.53,
"factor authentication": 0.53,
"duo integrations": 0.53,
"cisco identity": 0.46
},
"industry_groups": {
"SECURITY": 0.98
},
"update_date": "2024-05-31",
"similarity": 81
}
]
Find out the similarity degree between your existing customer segment and a list of your inbound leads using one or more of the following methods:
Domain Match
Use a set of domains that provide the best representation of the customer segment. We analyze the content of your input domains and compare them with all inbound domains to calculate the matching degree.
Natural Language (NL) Match
Natural Language (NL) Match Provide an Ideal Customer Profile (ICP) that best represents the customer segment. We analyze the content of your ICP and compare it with all inbound domains to calculate the matching degree. Longer, more informative descriptions will result in better accuracy for the matching degree.
HTTP Query
POST https://api.discolike.com/v1/simrank
Query Parameters
| Parameter | Description |
|---|---|
| domain | Specify a domain or set of domains as a base for lookalike matching. Up to 10 domains can be entered. |
| negate_domain | A subset of the results that match the negate domain context will be excluded from the match results. This process ensures that only the most relevant domains are considered, removing the need to manually filter out irrelevant domains. The API removes subdomains from the input domain when using negate domain.Up to 10 domains can be entered. |
| nl_match | Enter one or more paragraphs of text for our model to use with Natural Language Match. |
| negate_nl_match | Provide a detailed description that represents the business concept you wish to exclude. Results that match that concept will be excluded. |
| retrieval | Set to 1 to enable Page Data Retrieval using Extract API. This field is optional and defaults to 0. |
The API returns an array of BizData profiles as described in the BizData API, with the additional fields below:
Response Fields
| Field | Format | Description |
|---|---|---|
| similarity | UInt8 | Similarity score between the output domain and the query domains or Natural Language text. A score of 100 indicates complete match, while a score of 0 signifies no relation. |
Subsidiaries API
curl "https://api.discolike.com/v1/subsidiaries?domain=hotmail.com&match=child" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
[
{
"source_domain": "live.com",
"source_fqdn": "outlook.live.com",
"source_score": 855,
"linked_domain": "hotmail.com",
"linked_fqdn": "hotmail.com",
"linked_score": 84,
"record_date": "2025-03-10",
"parent_domain": "live.com",
"child_domain": "hotmail.com"
},
{
"source_domain": "live.com",
"source_fqdn": "outlook.live.com",
"source_score": 856,
"linked_domain": "hotmail.com",
"linked_fqdn": "hotmail.com",
"linked_score": 57,
"record_date": "2025-03-10",
"parent_domain": "live.com",
"child_domain": "hotmail.com"
},
{
"source_domain": "outlook.com",
"source_fqdn": "outlook.com",
"source_score": 612,
"linked_domain": "hotmail.com",
"linked_fqdn": "hotmail.com",
"linked_score": 84,
"record_date": "2025-06-26",
"parent_domain": "microsoft.com",
"child_domain": "hotmail.com"
},
{
"source_domain": "outlook.com",
"source_fqdn": "sendersupport.olc.protection.outlook.com",
"source_score": 579,
"linked_domain": "hotmail.com",
"linked_fqdn": "postmaster.hotmail.com",
"linked_score": 57,
"record_date": "2025-05-04",
"parent_domain": "office.net",
"child_domain": "hotmail.com"
},
{
"source_domain": "microsoft.com",
"source_fqdn": "mta-sts.microsoft.com",
"source_score": 721,
"linked_domain": "hotmail.com",
"linked_fqdn": "mta-sts.hotmail.com",
"linked_score": 57,
"record_date": "2024-07-30",
"parent_domain": "skype.net",
"child_domain": "hotmail.com"
}
]
The Subsidiaries API retrieves domains of a company’s subsidiaries using information from our Subsidiaries Linkage Dataset
Query Parameters
| Parameter | Description |
|---|---|
| domain | Query domain. |
| match | The domain in the linkage dataset to match against. Pick from the list of options listed below:
|
Response Fields
| Field | Format | Description |
|---|---|---|
| source_domain | String | Normalized domain name (excluding any subdomain). |
| source_fqdn | String | The source FQDN used to establish domain linkages within this dataset. |
| source_score | Unsigned Int32 | Domain score computed from certificates history, numeric number, values (1 - 800). |
| linked_domain | String | Normalized linked domain name (excluding any subdomain). |
| linked_fqdn | String | The linked FQDN used to establish domain linkages within this dataset. |
| linked_score | Unsigned Int32 | Domain score computed from certificates history, numeric number, values (1 - 800). |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
| parent_domain | String | Domain with the highest score among all source-linked pairs. |
| child_domain | String | Remaining domains with scores lower than the parent domain’s score. |
Vendors API
curl "https://api.discolike.com/v1/vendors?domain=ford.com&match=client" \
-H "x-discolike-key: API_KEY"
The above command returns JSON structured like this:
[
{
"client_domain": "ford.com",
"vendor_domain": "amazonaws.com",
"client_fqdn": "analytics.fgedst.ford.com",
"vendor_fqdn": "looker-2071853169.us-east-1.elb.amazonaws.com",
"record_date": "2024-06-07"
},
{
"client_domain": "ford.com",
"vendor_domain": "anypointdns.net",
"client_fqdn": "api-preprod.anypointsa.ford.com",
"vendor_fqdn": "sa-api-ford-preprod.lb.anypointdns.net",
"record_date": "2024-02-28"
},
{
"client_domain": "ford.com",
"vendor_domain": "azure.com",
"client_fqdn": "alerts.ford.com",
"vendor_fqdn": "usepdpcflb01.eastus.cloudapp.azure.com",
"record_date": "2024-05-23"
},
{
"client_domain": "ford.com",
"vendor_domain": "azureedge.net",
"client_fqdn": "ivsuqa1.binaries.ford.com",
"vendor_fqdn": "iotacdnqa1.azureedge.net",
"record_date": "2024-03-01"
},
{
"client_domain": "ford.com",
"vendor_domain": "azurefd.net",
"client_fqdn": "cvfmavehicleprofilestagena.cv.ford.com",
"vendor_fqdn": "feuscvfmafrontdoorstagena-h6dwh3gccjghc7aw.z01.azurefd.net",
"record_date": "2024-06-03"
},
{
"client_domain": "ford.com",
"vendor_domain": "azurewebsites.net",
"client_fqdn": "dev.tmcexplorer.cv.ford.com",
"vendor_fqdn": "defl-eastus-dev.azurewebsites.net",
"record_date": "2024-06-20"
},
{
"client_domain": "ford.com",
"vendor_domain": "brownart.com",
"client_fqdn": "toolbox.ford.com",
"vendor_fqdn": "fordtoolbox.brownart.com",
"record_date": "2024-01-07"
},
{
"client_domain": "ford.com",
"vendor_domain": "cloudfront.net",
"client_fqdn": "dats.ford.com",
"vendor_fqdn": "dkoc2aqs18a0s.cloudfront.net",
"record_date": "2024-07-11"
},
{
"client_domain": "ford.com",
"vendor_domain": "edgekey-staging.net",
"client_fqdn": "securemgtest.ford.com",
"vendor_fqdn": "securemgtest.ford.com.edgekey-staging.net",
"record_date": "2024-07-06"
},
{
"client_domain": "ford.com",
"vendor_domain": "edgekey.net",
"client_fqdn": "login.caribe.ci.ford.com",
"vendor_fqdn": "login.caribe.ci.ford.com.edgekey.net",
"record_date": "2024-07-14"
},
{
"client_domain": "ford.com",
"vendor_domain": "eightfold.ai",
"client_fqdn": "jobs-qa.ford.com",
"vendor_fqdn": "ford-sandbox.eightfold.ai",
"record_date": "2024-07-11"
},
{
"client_domain": "ford.com",
"vendor_domain": "fmsendcrmclick.eu",
"client_fqdn": "fwtrack.ford.com",
"vendor_fqdn": "b5f20ba420fbeeea7e500208388835f6.fmsendcrmclick.eu",
"record_date": "2024-06-03"
},
{
"client_domain": "ford.com",
"vendor_domain": "github.io",
"client_fqdn": "gridrack.pages.ford.com",
"vendor_fqdn": "ford-innersource.github.io",
"record_date": "2024-07-14"
},
{
"client_domain": "ford.com",
"vendor_domain": "jfrog.io",
"client_fqdn": "jfrog.ford.com",
"vendor_fqdn": "ford.jfrog.io",
"record_date": "2023-12-31"
},
{
"client_domain": "ford.com",
"vendor_domain": "lithium.com",
"client_fqdn": "fpcommunity.ford.com",
"vendor_fqdn": "zsbgt37827.lithium.com",
"record_date": "2024-07-03"
},
{
"client_domain": "ford.com",
"vendor_domain": "microsoft.com",
"client_fqdn": "fpt.ci.ford.com",
"vendor_fqdn": "fpt.dfp.microsoft.com",
"record_date": "2024-04-12"
},
{
"client_domain": "ford.com",
"vendor_domain": "motiveintegrator.com",
"client_fqdn": "dspconnect.ford.com",
"vendor_fqdn": "dspconnect.motiveintegrator.com",
"record_date": "2024-05-23"
},
{
"client_domain": "ford.com",
"vendor_domain": "msappproxy.net",
"client_fqdn": "eidmproxy.qa.iam.ford.com",
"vendor_fqdn": "eidmproxy-azureqaford.msappproxy.net",
"record_date": "2024-06-20"
},
{
"client_domain": "ford.com",
"vendor_domain": "omtrdc.net",
"client_fqdn": "smetrics.ford.com",
"vendor_fqdn": "ford.com.ssl.sc.omtrdc.net",
"record_date": "2024-05-27"
},
{
"client_domain": "ford.com",
"vendor_domain": "pageserve.co",
"client_fqdn": "bluecruise.ford.com",
"vendor_fqdn": "secure.pageserve.co",
"record_date": "2024-07-15"
},
{
"client_domain": "ford.com",
"vendor_domain": "pphosted.com",
"client_fqdn": "securemail.ford.com",
"vendor_fqdn": "pe-00498f03.gslb.pphosted.com",
"record_date": "2023-12-31"
},
{
"client_domain": "ford.com",
"vendor_domain": "q4web.com",
"client_fqdn": "broncopodcast.ford.com",
"vendor_fqdn": "fordbronco2020mini-farm.q4web.com",
"record_date": "2024-06-21"
},
{
"client_domain": "ford.com",
"vendor_domain": "sfmc-content.com",
"client_fqdn": "image.eumsg.ford.com",
"vendor_fqdn": "tltvgwggkz17-q2sk8ng0h1q5rx1.image-sap.sfmc-content.com",
"record_date": "2024-04-17"
},
{
"client_domain": "ford.com",
"vendor_domain": "sfmc-marketing.com",
"client_fqdn": "view.wcm-mail.ford.com",
"vendor_fqdn": "tlfq5-gvhyh8819lxbp9pdxpwhz0.view-sap.sfmc-marketing.com",
"record_date": "2024-04-03"
},
{
"client_domain": "ford.com",
"vendor_domain": "singleinterface.com",
"client_fqdn": "dealer.india.ford.com",
"vendor_fqdn": "si-locations-lb-a-3.singleinterface.com",
"record_date": "2024-02-09"
},
{
"client_domain": "ford.com",
"vendor_domain": "trafficmanager.net",
"client_fqdn": "fstgusapplinktm.cv.ford.com",
"vendor_fqdn": "fapplinkstg.trafficmanager.net",
"record_date": "2024-06-18"
},
{
"client_domain": "ford.com",
"vendor_domain": "tsocms.com",
"client_fqdn": "devlicweb.ford.com",
"vendor_fqdn": "devlicweb.tsocms.com",
"record_date": "2024-06-10"
},
{
"client_domain": "ford.com",
"vendor_domain": "vbrick.com",
"client_fqdn": "qavideosat.ford.com",
"vendor_fqdn": "rev.vbrick.com",
"record_date": "2024-07-12"
},
{
"client_domain": "ford.com",
"vendor_domain": "vocantasonline.com",
"client_fqdn": "employeeqa.art.ford.com",
"vendor_fqdn": "employeeqa-ford.vocantasonline.com",
"record_date": "2024-01-27"
}
]
The Vendors API retrieves domains of a company’s vendors using information from our Vendor Integration Dataset
Query Parameters
| Parameter | Description |
|---|---|
| domain | Query domain. |
| match | The domain in the linkage dataset to match against. Pick from the list of options listed below:
|
Response Fields
| Name | Format | Description |
|---|---|---|
| client_domain | String | Normalized domain name (excluding any subdomain). |
| client_fqdn | String | The client FQDN (Fully Qualified Domain Name) used for the implementation of the vendor solution. |
| vendor_domain | String | Normalized vendor domain name (excluding any subdomain). |
| vendor_fqdn | String | The vendor FQDN (Fully Qualified Domain Name) used in the client’s white label implementation. |
| record_date | Date (YYYY-MM-DD) | Date in which we compiled the record. |
Supported Languages
The DiscoLike API translate websites from the following language
| ISO-639-2 | Language |
|---|---|
| ar | Arabic |
| az | Azerbaijani |
| bg | Bulgarian |
| bn | Bengali |
| ca | Catalan |
| cs | Czech |
| da | Danish |
| de | German |
| el | Greek |
| en | English |
| eo | Esperanto |
| es | Spanish |
| et | Estonian |
| fa | Persian |
| fi | Finnish |
| fr | French |
| ga | Irish |
| he | Hebrew |
| hi | Hindi |
| hu | Hungarian |
| id | Indonesian |
| it | Italian |
| ja | Japanese |
| ko | Korean |
| lt | Lithuanian |
| lv | Latvian |
| ms | Malay |
| nb | Norwegian Bokmål |
| nl | Dutch |
| pl | Polish |
| pt | Portuguese |
| ro | Romanian |
| ru | Russian |
| sk | Slovak |
| sl | Slovenian |
| sq | Albanian |
| sv | Swedish |
| th | Thai |
| tl | Tagalog |
| tr | Turkish |
| uk | Ukrainian |
| ur | Urdu |
| zh | Chinese (Simplified) |
| zt | Chinese (Traditional) |