x402 URL Extractor – /enrich is a paid API for AI agents from x402-url-extractor-production.up.railway.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-02).
Given a domain or URL, returns enriched company metadata including DNS records, tech stack, social profiles, contact info, and AI-readiness score
Pay USDC (Base mainnet, x402) per call: /enrich $0.05, /extract $0.05, /read $0.05, /scan $0.20, /schemaforge $0.25. payTo 0x8904dF3DE6DFEe6a7C8cc38619d2f17806213Cee
A JSON object with: company name, legal name, logo, description and keywords; DNS details (MX records, host, SPF/DMARC flags, emailInfra boolean); detected tech stack array; social profile URLs (GitHub, Twitter, LinkedIn); contact info (emails, phones, address); and an AI readiness object with a numeric score, hasJsonLd, hasLlmsTxt, and detected schema.org types.
GEThttps://x402-url-extractor-production.up.railway.app/enrich?utm_source=zero.xyzUse this endpoint when you need a comprehensive, multi-dimensional company profile from a single domain — covering DNS/email security posture, tech stack, social presence, contact details, and AI readiness in one call. Prefer this over manual DNS lookups or scraping when you need structured, enriched output rather than raw HTML. Especially useful for sales intelligence, vendor due diligence, or AI agent pipelines that need to qualify or profile a company by domain.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"ok": true,
"dns": {
"mx": [
"aspmx.l.google.com"
],
"host": "stripe.com",
"hasSPF": true,
"hasDMARC": true,
"emailInfra": true
},
"tech": [
"Next.js"
],
"domain": "stripe.com",
"social": {
"github": "https://github.com/stripe",
"twitter": "https://twitter.com/stripe",
"linkedin": "https://www.linkedin.com/company/stripe/"
},
"company": {
"logo": "https://.../favicon.svg",
"name": "Stripe",
"keywords": [],
"legalName": "Stripe, LLC",
"description": "Financial services platform..."
},
"contact": {
"emails": [],
"phones": [],
"address": null
},
"aiReadiness": {
"score": 84,
"hasJsonLd": true,
"hasLlmsTxt": true,
"schemaTypes": [
"Organization",
"WebSite"
]
}
}
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