AsterPay Agent-Readiness Scanner is a paid API for AI agents from x402.asterpay.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Scans any public website and returns a 0-100 agent-readiness score across six dimensions: MCP server, agent.json, llms.txt, OpenAPI validity, JSON-LD catalog, and x402/MPP payability.
Agent-readiness scan of any public website: scores 0-100 on MCP server, /.well-known/agent.json, llms.txt, OpenAPI validity, JSON-LD catalog and x402/MPP payability. Same published methodology as the asterpay.io checker. Paid via x402.
Returns a JSON object with a numeric score (0-100), a readiness bucket ('invisible', 'partial', or 'agent-ready'), a signals object with per-dimension earned vs weighted scores, and a top_gaps array listing the most impactful missing agent features.
GEThttps://x402.asterpay.io/v2/x402/agent-readinessUse this endpoint when you need a structured, multi-dimensional audit of whether a public website meets AI agent interoperability standards — especially if you want a single score covering MCP, llms.txt, OpenAPI, JSON-LD, and x402 payability in one call. Prefer this over manual inspection or single-signal checks when you need a normalized, comparable score across multiple domains.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"schema": {
"type": "object",
"required": [
"score",
"bucket"
],
"properties": {
"score": {
"type": "number",
"maximum": 100,
"minimum": 0
},
"bucket": {
"enum": [
"invisible",
"partial",
"agent-ready"
],
"type": "string"
},
"signals": {
"type": "object"
},
"top_gaps": {
"type": "array"
}
}
},
"example": {
"mcp": {
"via": [],
"detected": false,
"verified": false
},
"url": "https://example.com/",
"score": 60,
"bucket": "partial",
"openapi": {
"valid": true,
"security_schemes": false
},
"signals": {
"llms": {
"earned": 15,
"weight": 15
},
"discoverable": {
"earned": 25,
"weight": 25
}
},
"top_gaps": [
{
"label": "Agents can't pay you yet"
}
]
}
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