Claim 250 credits on our Scale plan for free

Enrich leads via API

Send a raw lead — just an email or name + company — and get back a fully scored ICP record with verified contact data, firmographics, intent signals, and a 0-100 fit score. One API call replaces the manual research loop.

POSThttps://api.cleanlist.ai/v1/enrich/lead

AuthorizationBearer clnl_live_…

Content-Typeapplication/json

{
  "email": "jane@acme.com"
}
  • 1 creditA verified work email, however many providers it took to find it.
  • 11 creditsEmail and direct dial together, on the same call.
  • 25+ providersQueried in cost order. The first source that returns wins, and a miss costs nothing.
  • 98% / 85%Verified work email and direct dial, measured on a 500-lead stratified test.

One call in.14 fields back.

The payload for a single lead lookup, and every field the record can carry. Same shape on every plan.

Response200 OK · lead
{
  "id": "ev_l4m8np2",
  "status": "completed",
  "lead": {
    "email": "mike.chen@techflow.io",
    "email_status": "valid",
    "first_name": "Mike",
    "last_name": "Chen",
    "title": "Director of Revenue Operations",
    "seniority": "director",
    "company_name": "TechFlow",
    "company_domain": "techflow.io",
    "company_size": "51-200",
    "company_industry": "SaaS",
    "company_revenue": "$10M-$25M",
    "icp_score": 87,
    "icp_signals": [
      "target_seniority",
      "target_department",
      "company_size_fit",
      "industry_match"
    ],
    "intent_signals": [
      "hiring_sales_ops",
      "evaluated_competitor"
    ]
  },
  "meta": {
    "credits_used": 11,
    "providers_queried": 25,
    "providers_matched": 6,
    "confidence": 0.92,
    "enriched_at": "2026-04-15T09:18:44Z"
  }
}
Field reference14 fields
  • emailstringVerified work email address with SMTP-level validation.
  • email_statusenumVerification result: valid, invalid, risky, catch-all, disposable, role-based, unknown.
  • first_namestringLead's first name.
  • last_namestringLead's last name.
  • titlestringNormalized job title.
  • seniorityenumSeniority level classification.
  • company_namestringCurrent employer.
  • company_domainstringCompany primary domain.
  • company_sizestringEmployee count range.
  • company_industrystringIndustry classification.
  • company_revenuestringEstimated annual revenue.
  • icp_scoreinteger0-100 fit score against your configured ICP. 80+ = high priority, 50-79 = nurture, below 50 = deprioritize.
  • icp_signalsstring[]Array of specific ICP match signals explaining the score breakdown.
  • intent_signalsstring[]Active buying intent signals detected: hiring patterns, technology evaluations, competitor engagement.

Call it from anything.Pay for what comes back.

One POST from curl, Node or Python. Credits are drawn from one wallet the whole team shares, and a call that finds nothing is never charged.

Client librariesenrich.lead
curl
curl -X POST https://api.cleanlist.ai/v1/enrich/lead \
  -H "Authorization: Bearer $CLEANLIST_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"email": "jane@acme.com"}'
Node.js
import Cleanlist from "cleanlist";

const client = new Cleanlist(process.env.CLEANLIST_API_KEY);

const result = await client.enrich.lead({
  email: "jane@acme.com",
});
console.log(result.lead.title);
Python
from cleanlist import Cleanlist

client = Cleanlist(api_key=os.environ["CLEANLIST_API_KEY"])

result = client.enrich.lead(email="jane@acme.com")
print(result["lead"]["title"])
What a call costsper lead
  • SearchFree, unlimited
  • Verified work email1 credit
  • Direct dial10 credits
  • Email and direct dial11 credits
  • Validation0.5 credits
  • AI qualification5 credits
  • A call that finds nothing0

One shared wallet across the team. The Free plan runs on 30 credits a month.

See all pricing

What teams do with it, and what they ask first.

  • Inbound lead qualification

    Enrich and score every form submission in real time. Route high-ICP leads to reps instantly, send low-fit leads to nurture sequences automatically.

  • List purchase validation

    Run purchased lead lists through enrichment before importing to CRM. Remove invalids, fill missing fields, and score against ICP — so only qualified leads enter your pipeline.

  • SDR territory planning

    Enrich a raw list of target companies into scored lead records. Sort by ICP score to prioritize the highest-fit accounts for each rep's territory.

  • Automated lead routing

    Use icp_score, seniority, and company_size in your routing rules to assign leads to the right rep, sequence, or SLA tier without manual triage.

How does ICP scoring work in the lead enrichment endpoint?

ICP scoring compares enriched lead attributes (title, seniority, company size, industry, revenue, tech stack) against your configured Ideal Customer Profile. You define your ICP criteria in the Cleanlist dashboard, and every enriched lead receives a 0-100 score with a breakdown of which signals matched. Scores above 80 indicate a strong fit.

What is the difference between lead enrichment and contact enrichment?

Contact enrichment returns verified contact data (email, phone, title, company). Lead enrichment returns the same contact data plus ICP scoring and intent signals. Use contact enrichment when you need data accuracy. Use lead enrichment when you also need qualification and prioritization.

Can I enrich leads with just a company name and no email?

Yes. The lead enrichment endpoint accepts email, name + company, domain, or LinkedIn URL as input. When you provide a company name without an email, Cleanlist identifies the best-fit contacts at that company based on your ICP criteria and returns enriched records for them.

How fresh are the intent signals?

Intent signals are refreshed weekly from hiring data, technology adoption signals, and web activity patterns. The recency of each signal is included in the response so you can weight recent signals more heavily in your routing logic.

Enrich leads in production.

The public API is on Pro and Scale. Search costs nothing on every plan, and a call that returns nothing is never charged.

Related reading: data enrichment and waterfall enrichment. Plans and credit rates are on pricing.