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ManyLives Web Agent-Readiness Checker
x402
ManyLives Web Agent-Readiness Checker is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-10).
Checks a website's AI and agent discoverability signals, returning a readiness score and list of missing standards (MCP, OpenAPI, llms.txt, agent card, payment manifest, sitemap).
Price / call$0.02
Success—
StatusUnknown
How this service works
Pay-per-call tools for people building AI agents: live web search and page contents, point-in-time crypto market data and news for backtests (no lookahead), verifiable track records of 1,000 crypto strategies locked on the Base network, company profiles, quick AI and batch prices. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.
Output
Returns a JSON object with the site URL, a numeric agent-readiness score (0-100), a 'found' object with boolean flags for MCP, OpenAPI, sitemap, llms_txt, agent_card, and payment_manifest presence, a list of AI crawlers that are blocked, and an array of actionable 'fixes' recommending which standards to publish.
Example use cases
Audit competitor site for AI readiness
“Check whether coingecko.com is discoverable by AI agents — does it have an llms.txt, agent card, OpenAPI spec, and payment manifest, and what score does it get?”
Pre-launch agent standards checklist
“Before we go live, can you scan myapp.io and tell me which AI agent standards we're missing — like MCP, llms.txt, sitemap, and agent card — and give us a readiness score?”
Check if a site blocks AI crawlers
“Does openai.com block AI crawlers, and does it have any of the standard agent-discovery files like llms.txt or an agent card?”
Technical details
Endpoint
GEThttps://api.manylives.me/paid/site/agent-ready?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically audit whether a specific website exposes the signals AI agents need to discover and interact with it — including llms.txt, agent cards, MCP endpoints, OpenAPI specs, payment manifests, and sitemap. Prefer this over manual inspection or generic crawlers when you want a structured, scored, per-standard breakdown with actionable fix recommendations, especially in an automated agent workflow evaluating multiple sites.
Side effects
- Missing or invalid 'site' query parameter returns an error
- Unreachable or nonexistent domain may return a low score with all flags false
- Malformed URL (no TLD, invalid scheme) may cause a parse error
- Rate limiting or payment failure via x402 protocol blocks the call
- Private or localhost domains may not be scannable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"site": "https://example.com",
"fixes": [
"Publish /.well-known/agent-card.json"
],
"found": {
"mcp": false,
"openapi": true,
"sitemap": true,
"llms_txt": true,
"agent_card": false,
"payment_manifest": false
},
"score": 40,
"ai_crawlers_blocked": []
}
}Tags
x402
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