Agent-Readiness Score is a paid API for AI agents from x402-v2-mint-agent-readiness.vercel.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-31).
Audits a public website for AI-agent compatibility signals (robots.txt bot rules, llms.txt, JSON-LD, OpenAPI/MCP, x402) and returns a deterministic 0–100 score with actionable fixes.
Agent-readiness check for a public site: robots.txt AI-bot rules, llms.txt, JSON-LD schema, OpenAPI/MCP discovery, /.well-known/x402. Deterministic 0-100 score + fixes. Max 6 capped public GETs. Bad url → 400, unreachable host → 422, both charged:false (checked before settle).
A JSON object with an overall 0–100 agent-readiness score, per-check results (robots.txt AI-bot rules, llms.txt presence, JSON-LD schema, OpenAPI/MCP endpoint discovery, /.well-known/x402), a list of concrete fix recommendations, and any errors encountered. The `charged` field indicates whether the call was billed.
POSThttps://x402-v2-mint-agent-readiness.vercel.app/v1/agent-readiness?utm_source=zero.xyzUse this endpoint when you need a fast, deterministic, standards-based audit of a public website's AI-agent compatibility — specifically checking robots.txt bot permissions, llms.txt, JSON-LD structured data, OpenAPI/MCP discovery endpoints, and x402 payment support. Prefer it over general SEO or crawlability tools when the goal is AI-agent discoverability and interoperability rather than search engine ranking.
| Field | Type | Description |
|---|---|---|
| url | string | https URL or bare public domain |
| request_id | string |
{
"type": "json",
"example": {
"ok": true,
"data": {
"url": "https://example.com",
"fixes": [],
"score": 25,
"checks": {},
"errors": []
},
"skill": "agent-readiness",
"charged": true
}
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