Prompt
How do I enrich leads with a data API?
Latest observation
Oct 8, 2026
OpenAI APIWeb search: off
To enrich leads with a data API, you usually take a lead’s basic identifiers—like email, name, company, domain, or phone—and send them to an enrichment service that returns additional firmographic, demographic, and contact data.
Typical flow
-
Collect your lead data
- Examples:
email,first_name,last_name,company,website/domain,phone
- Examples:
-
Normalize and validate
- Clean casing, trim whitespace
- Validate emails/domains/phones before calling the API
- Remove duplicates
-
Send a lookup request
- Query the enrichment API with the best unique identifier you have
- Common lookup keys:
- Email → person enrichment
- Domain → company enrichment
- Phone → contact enrichment
- Company name + location → company match
-
Receive enriched fields
- Example output:
- Person: title, seniority, LinkedIn URL, location
- Company: industry, employee count, revenue, headquarters, tech stack
- Contact: verified status, alternate emails, phone number
- Example output:
-
Store and map the data
- Save the returned fields into your CRM/CDP/database
- Map each field to the right schema
-
Use it in your workflow
- Lead scoring
- Routing to sales
- Personalization
- Segmentation
- Fraud/spam filtering
Example API call
cURL
curl -X POST https://api.enrichmentvendor.com/v1/enrich \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"email": "jane@acme.com",
"first_name": "Jane",
"last_name": "Doe",
"company": "Acme",
"domain": "acme.com"
}'
Example response
{
"person": {
"full_name": "Jane Doe",
"title": "VP of Marketing",
"linkedin_url": "https://linkedin.com/in/janedoe",
"location": "San Francisco, CA"
},
"company": {
"name": "Acme",
"domain": "acme.com",
"industry": "SaaS",
"employee_count": 240,
"annual_revenue": 18000000
},
"contact": {
"email_status": "verified",
"phone": "+14155551234"
}
}
Best practices
- Use the best identifier first
- Email is usually best for person enrichment
- Domain is best for company enrichment
- Batch requests if supported
- Much faster and cheaper than one-by-one
- Cache results
- Avoid re-enriching the same lead repeatedly
- Handle missing data gracefully
- Not every API call will return every field
- Respect privacy and compliance
- Ensure GDPR/CCPA and consent requirements are met
- Watch rate limits
- Implement retries with backoff
- Score confidence
- Use match confidence to decide whether to trust the result
Common integration patterns
- CRM enrichment
- Enrich leads when created/updated in HubSpot, Salesforce, etc.
- Webhook-based enrichment
- Trigger enrichment automatically when a form is submitted
- ETL / reverse-ETL
- Enrich records in your warehouse, then sync back
- Real-time enrichment
- Use during signup or demo request flows
Minimal implementation steps
If you’re building this yourself:
- Choose a provider
- Get an API key
- Determine your lookup fields
- Build a lead enrichment function
- Map response fields to your database/CRM
- Add logging, retries, caching, and deduplication
If you want, I can also show:
- a Python example
- a Node.js example
- how to do this in HubSpot/Salesforce
- how to design a lead enrichment pipeline
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