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Oblique Markets Agent-Readiness Audit
x402
Oblique Markets Agent-Readiness Audit is a paid API for AI agents from api.oblique.markets, paid per call via x402, $1/call, status unknown (last checked 2026-09-13).
Audits a domain for AI-agent discoverability by probing six well-known discovery surfaces, validating key fields, and returning a weighted 0–100 readiness score with fix-it recommendations
Price / call$1
Success—
StatusUnknown
How this service works
Verify an AI Agent API’s x402, agent.json, OpenAPI, llms.txt, robots.txt, and MCP discovery surfaces; return a 0–100 score, missing fields, validation findings, and prioritized fixes.
Output
Returns a weighted 0–100 agent-readiness score along with per-surface probe results for all six discovery endpoints (/.well-known/x402.json, /.well-known/agent.json, /openapi.json, /llms.txt, /robots.txt, /.well-known/mcp.json), key-field validation outcomes for each surface, and specific actionable fix-it recommendations for any failing or missing components.
Example use cases
Pre-launch agent discoverability check
“Before we go live, can you audit api.myservice.com for agent readiness? I want to know if our well-known files like agent.json, openapi.json, and llms.txt are all in place and what our score is.”
Competitor discovery surface benchmarking
“Audit competitor.io for agent readiness — I want to see their 0–100 score across all six discovery surfaces and understand what they have configured that we don't.”
Post-fix validation after agent config update
“We just updated our /.well-known/x402.json and mcp.json — can you re-audit ourstartup.com to confirm the changes improved our agent-readiness score and flag anything still broken?”
Technical details
Endpoint
POSThttps://api.oblique.markets/api/v1/paid/agent-readiness-auditWhen to prefer
Choose this endpoint when you need a comprehensive, multi-surface agent-discoverability assessment of a domain rather than checking a single file manually. It is purpose-built for the agent-readiness use case, covering all six canonical discovery surfaces in one call with SSRF protection and a normalized score — ideal for developers preparing an API for AI agent consumption, for competitive benchmarking, or for automated CI checks on agent infrastructure.
Side effects
- Domain not reachable or invalid — returns error if the domain cannot be resolved or normalized
- SSRF guard triggered — internal or reserved IP ranges are blocked and return an error
- All six discovery surfaces missing — score may be 0 with all recommendations flagged
- Malformed domain input — non-URL strings may fail normalization
- Rate limiting or payment failure — $1 USDC payment required per call via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| domain | string | Bare domain (example.com) or https URL — normalized to the https origin |
Output
Schema · Response
{
"type": "json",
"example": {
"score": 60,
"checks": {
"mcp": {
"notes": [],
"parses": null,
"present": false,
"http_status": 404
},
"x402": {
"notes": [
"12 paid endpoint(s) advertised"
],
"parses": true,
"present": true,
"http_status": 200
},
"openapi": {
"notes": [],
"parses": null,
"present": false,
"http_status": 404
},
"llms_txt": {
"notes": [],
"parses": null,
"present": true,
"http_status": 200
},
"agent_json": {
"notes": [],
"parses": true,
"present": true,
"http_status": 200
},
"robots_txt": {
"notes": [],
"parses": null,
"present": false,
"http_status": 404
}
},
"domain": "https://api.example-seller.com",
"audited_at": "2026-08-10T12:00:00.000Z",
"recommendations": [
"Serve /openapi.json describing your API surface — agents plan tool calls from it (worth 20 points)",
"Add /robots.txt with a Sitemap line and explicit AI-crawler policy (worth 10 points)",
"Publish /.well-known/mcp.json pointing at your MCP server so tool-using agents can connect directly (worth 10 points)"
]
}
}Tags
x402
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