I'm building a lead scoring model and need firmographic enrichment via API

Firmographic enrichment via API is a good fit for lead scoring because it lets you append company-level attributes like industry, employee count, revenue, location, and technology stack before scoring.

What to enrich

Common firmographic fields:

• Company name
• Domain
• Industry / sub-industry
• Employee count
• Revenue range
• HQ location / country / region
• Funding stage
• Public/private status
• Website
• Technologies used
• Parent / subsidiary relationships

Typical API flow

1. Input: company name, email domain, or website URL
2. Resolve company: match to a unique company record
3. Fetch firmographics: return structured attributes
4. Normalize: map to your internal schema
5. Score: feed fields into your lead scoring model

Example request pattern

A typical enrichment endpoint might look like:

GET /v1/company/enrich?domain=example.com
Authorization: Bearer YOUR_API_KEY

Example response:

{
  "company_name": "Example Inc",
  "domain": "example.com",
  "industry": "Software",
  "employee_count": 250,
  "employee_count_range": "201-500",
  "revenue_range": "$10M-$50M",
  "hq_country": "US",
  "hq_region": "North America",
  "linkedin_url": "https://www.linkedin.com/company/example",
  "tech_stack": ["Salesforce", "HubSpot", "AWS"]
}

How to use it in lead scoring

You can turn enriched firmographics into features such as:

• Company size band
• Industry match score
• Geography fit
• Growth stage fit
• Tech stack fit
• Public/private indicator

Example scoring rules:

• +20 if employee count is 51–500
• +15 if industry matches target vertical
• +10 if HQ is in target region
• -10 if company is outside ICP segment

API provider categories

Depending on your needs, you might look at:

• B2B data enrichment providers for company resolution + firmographics
• Sales intelligence platforms with enrichment APIs
• Data brokers / enrichment aggregators
• CRM enrichment tools that can sync directly into Salesforce/HubSpot

Implementation tips

• Use domain as the primary key when possible; it’s more reliable than company name.
• Cache responses to reduce cost and latency.
• Store the source and timestamp of each enriched field.
• Build confidence thresholds for ambiguous matches.
• Handle missing fields gracefully in the scoring model.

Example Python snippet

import requests

API_KEY = "YOUR_API_KEY"
domain = "example.com"

resp = requests.get(
    "https://api.provider.com/v1/company/enrich",
    params={"domain": domain},
    headers={"Authorization": f"Bearer {API_KEY}"}
)

data = resp.json()
print(data)

If you want, I can also help with:

1. choosing an enrichment API vendor,
2. designing the enrichment schema for your lead score,
3. writing code for a specific stack like Python, Node.js, or Salesforce.