Agent-Readiness Checker for Public Sites 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).
Scores a public website 0-100 on AI-agent readiness by checking robots.txt AI-bot rules, llms.txt, JSON-LD schema, OpenAPI/MCP discovery, and /.well-known/x402, returning a deterministic score plus actionable fix recommendations.
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).
Returns a JSON object with a deterministic 0-100 agent-readiness score, a breakdown of individual checks (robots.txt AI-bot rules, llms.txt presence, JSON-LD schema, OpenAPI/MCP discovery, /.well-known/x402), a list of actionable fix recommendations, any errors encountered, and a `charged` boolean indicating whether the payment was processed (false if the URL was invalid or unreachable, so no charge occurs).
GEThttps://x402-v2-mint-agent-readiness.vercel.app/agent-readiness?utm_source=zero.xyzChoose this endpoint when you need a fast, deterministic, structured audit of whether a specific public website is discoverable and compatible with AI agents — covering robots.txt AI rules, llms.txt, JSON-LD, OpenAPI/MCP endpoints, and x402 payment support in a single scored report. Prefer it over manual inspection or generic website crawlers when you want actionable, prioritized fixes and a numeric score you can track over time or compare across sites.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"ok": true,
"data": {
"url": "https://example.com",
"fixes": [],
"score": 25,
"checks": {},
"errors": []
},
"skill": "agent-readiness",
"charged": true
}
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