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AgentUtility Contact Enrichment
x402
AgentUtility Contact Enrichment is a paid API for AI agents from x402.agentutility.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Enriches a contact record from an email address, name, domain, or company name into a normalized public-data profile with inferred display name, company/domain context, and MX records
Price / call$0.01
Success—
StatusUnknown
How this service works
Enriches a contact from email, name, domain, or company into a normalized public-data record with inferred display name, company/domain context, MX records, and optional homepage metadata. No private people database, LinkedIn scraping, or social-network scraping. Use it as a contact enrichment API, email-to-contact enrichment, or lead contact lookup.
Output
A JSON object containing the normalized contact record including inferred display name, email, company name, domain, MX record data, optional homepage metadata, and a confidence score (0–1) indicating enrichment quality.
Example use cases
CRM lead enrichment before outreach
“I just collected a lead's email — m.chen@brightwave.io — can you enrich it to get her inferred name, company, and domain info so I can fill out her CRM record?”
Qualifying inbound sales lead
“We got a form submission from someone at ops@industrialedge.com — can you look up what you can find about that contact and company from public data so I know if they're worth reaching out to?”
Normalizing a bulk contact list entry
“I have a raw contact entry: name 'T. Ramirez', email 'tramirez@solvexa.co' — can you normalize and enrich that into a clean contact record with company context and MX records?”
Technical details
Endpoint
POSThttps://x402.agentutility.ai/contact-enrichWhen to prefer
Choose this endpoint when you need lightweight, public-data-only contact enrichment from an email, name, domain, or company — especially in agentic pipelines that require USDC micropayment settlement via x402. Prefer it over heavier enrichment services when you do not need LinkedIn data, social network profiles, or private people databases, and when cost-per-call efficiency ($0.01 USDC) is a priority.
Side effects
- Low-confidence enrichment when input is ambiguous or minimal (confidence score near 0)
- No results found if the domain is obscure or newly registered
- MX record lookup failure for non-existent or misconfigured domains
- Homepage metadata unavailable for domains with bot-blocking or no public homepage
- Payment failure via x402 if USDC balance is insufficient
Output
Schema · Response
{
"type": "json",
"example": {
"name": "Jane Doe",
"email": "jane.doe@example.com",
"company": "Example",
"confidence": 0.9
}
}Tags
x402
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