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POST
/
v1
/
businesses
/
lookalikes
/
enrich
Lookalikes
curl --request POST \
  --url https://api.explorium.ai/v1/businesses/lookalikes/enrich \
  --header 'Content-Type: application/json' \
  --header 'api_key: <api-key>' \
  --data '{
  "request_context": {},
  "parameters": {},
  "business_id": "<string>"
}'
{
  "response_context": {
    "correlation_id": "<string>",
    "request_status": "success",
    "time_took_in_seconds": 123
  },
  "data": {
    "business_id": "<string>",
    "lookalike_business_id": "<string>",
    "lookalike_business_name": "<string>",
    "lookalike_website": "<string>",
    "lookalike_description": "<string>",
    "lookalike_number_of_employees_range": "1-10",
    "lookalike_revenue_range": "0-500K",
    "lookalike_naics_description": "<string>",
    "lookalike_country_location": "<string>",
    "similarity_score": "<string>"
  },
  "entity_id": "<string>"
}

Description

This enrichment is powered by Ocean.io, a provider of lookalike companies based on advanced similarity analysis. 0bfdc090de99b88acc7276e2d8af4455a5e88453f8c36d2a038b5dab173d8655 Image Pn The Lookalike Companies Enrichment identifies and returns businesses that closely resemble a given company across key dimensions such as industry, size, geography, and online presence. This enrichment is powered by an external API provided by Ocean.io, which uses its own similarity engine to surface relevant company lookalikes. Similarity scores are calculated based on a combination of structured business attributes (e.g., number of employees, revenue range, industry classification, and country), semantic similarity of company descriptions, digital footprint overlap (such as website content and web signals), and additional contextual indicators sourced from Ocean.io’s data graph. For each input company (business_id), the enrichment returns up to 3 lookalike companies, including their firmographic attributes and a similarity score indicating the strength of the match (e.g., Medium or High). This enrichment provides a powerful signal for identifying companies that “look like” your target ideal for use cases such as lead generation, market expansion, competitive intelligence, and segmentation strategies.
  • Input: Provide a business_id obtained from the Match Businesses API.
  • Processing: The system identifies businesses with high similarity scores based on business attributes, descriptions, and digital footprint.
  • Output: A list of lookalike companies with attributes such as name, website, industry, size, revenue range, and similarity score.
Bash
{
"request_context": {
"seller_id": "sample_id"
},
"business_id": "9664930a34aa8e59f9b994b70e8bc15e"
}
JSON
{
"response_context": {
"correlation_id": "fe2bade7db0640d0887aebc6d0e2e3f3",
"request_status": "success",
"time_took_in_seconds": 3.071
},
"data": [
{
    "business_id": "9664930a34aa8e59f9b994b70e8bc15e",
    "lookalike_business_id": "443fbc49b4ab9988d64065d7e2fddf1a",
    "lookalike_business_name": "centrify",
    "lookalike_website": "https://delinea.com",
    "lookalike_description": "Please follow Delinea on Linkedin! Centrify is now Delinea....",
    "lookalike_number_of_employees_range": "501-1000",
    "lookalike_revenue_range": "75M-200M",
    "lookalike_naics_description": "Software Publishers",
    "lookalike_country_location": "us",
    "similarity_score": "High"
},
{
    "business_id": "9664930a34aa8e59f9b994b70e8bc15e",
    "lookalike_business_id": "b5bff70c7cd89e7677a6863751678f30",
    "lookalike_business_name": "innskill",
    "lookalike_website": "https://innskill.com",
    "lookalike_description": "INNSKILL - Empowering Businesses with IAM and Cybersecurity Solutions At INNSKILL, we specialize in providing comprehensive Identity and Access Management (IAM) .....",
    "lookalike_number_of_employees_range": "51-200",
    "lookalike_revenue_range": "10M-25M",
    "lookalike_naics_description": "Computer Systems Design and Related Services",
    "lookalike_country_location": "nl",
    "similarity_score": "High"
},
{
    "business_id": "9664930a34aa8e59f9b994b70e8bc15e",
    "lookalike_business_id": "0c9e2098799d2d7ac37eba0c7aac5060",
    "lookalike_business_name": "saviynt",
    "lookalike_website": "https://saviynt.com",
    "lookalike_description": "About Us At Saviynt, we are pioneers in intelligent identity security solutions....",
    "lookalike_number_of_employees_range": "1001-5000",
    "lookalike_revenue_range": "500M-1B",
    "lookalike_naics_description": "Software Publishers",
    "lookalike_country_location": "us",
    "similarity_score": "High"
}
],
"entity_id": "9664930a34aa8e59f9b994b70e8bc15e"
}
  • Always use a validbusiness_id obtained via the Match Businesses API.
  • Interpret similarity scores to prioritize the strongest matches for your use case (e.g. focus on “High” similarity for precise lookalikes).
  • Combine lookalike insights with other enrichment signals (e.g. firmographics, technographics) for deeper segmentation.
  • Re-run lookalike queries periodically to capture changes in the business landscape and discover new similar companies.
SignalAPINameDescriptionData Type
lookalike_company_nameLookalike company nameName of the similar company.string
similarity_scoreSimilarity scoreScore indicating similarity level.number
similarity_factorsSimilarity factorsFactors used for similarity calculation.string
industry_matchIndustry matchWhether industries match.boolean
size_similaritySize similaritySimilarity in company size.string
geographic_proximityGeographic proximityGeographic proximity of the companies.string
business_model_similarityBusiness model similaritySimilarity in business models.string
financial_similarityFinancial similaritySimilarity in financial metrics.string
customer_base_similarityCustomer base similaritySimilarity in customer base.string
confidence_levelConfidence levelConfidence in the lookalike match.string
For additional enrichment options, explore related API endpoints below.

Authorizations

api_key
string
header
required

Body

application/json
business_id
string
required
request_context
object
parameters
object

Response

Successful Response

This is base response model for all responses in partner service.

response_context
object
required
data
entity_id
I