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AgentDiet Company Enrichment API
x402
AgentDiet Company Enrichment API is a paid API for AI agents from github-audit-72343955726.us-central1.run.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-14).
Enriches a company profile with B2B lead intelligence data by accepting a company identifier and returning structured business information for sales, research, or agent-driven workflows.
Price / call$0.02
Success—
StatusUnknown
How this service works
15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).
Output
Returns a JSON object containing enriched company data in agent-ready markdown format, along with token efficiency metrics including raw token count, distilled token count, compression ratio, and ROI multiplier indicating how much context was saved versus raw ingestion.
Example use cases
CRM lead enrichment before outreach
“I'm about to reach out to Acme Corp at acmecorp.com — can you pull their enriched company profile so I have their industry, size, and key details ready before I write my sales email?”
Prospect research for investor due diligence
“I need a full business intelligence snapshot on OpenAI — company size, funding stage, headquarters, and any other structured data you can find — I'm prepping a competitive analysis.”
Automated B2B pipeline qualification
“We have a new inbound lead from databricks.com — can you enrich their company profile and return a clean summary of who they are, what they do, and how big they are so I can qualify them?”
Technical details
Endpoint
GEThttps://github-audit-72343955726.us-central1.run.app/v1/company-enrich?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need B2B lead enrichment for a specific company and want agent-ready markdown output with built-in token compression — particularly useful in agentic pipelines where context window efficiency matters. Prefer this over raw web scraping when you need structured, distilled company intelligence rather than raw HTML, and when you are operating in a pay-per-call micropayment (x402/USDC) context and want predictable $0.02-per-call pricing.
Side effects
- Unknown or unresolvable company domain returns empty or partial data
- Rate limiting or payment failure (HTTP 402) if USDC payment not properly attached
- Invalid company identifier format results in a 400 error
- Company not found in underlying data sources returns a null or minimal profile
- Upstream data provider unavailability causes degraded or missing enrichment fields
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"mode": "markdown",
"title": "Example Documentation",
"content": "# Example Documentation\nClean agent-ready markdown..."
},
"status": "ok",
"roi_proof": {
"raw_tokens": 14200,
"tokens_saved": 13520,
"roi_multiplier": 67.6,
"distilled_tokens": 680,
"compression_ratio_pct": 95.2
}
}
}Tags
x402
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