x402station.io Forensics is a paid API for AI agents from x402station.io, paid per call via x402, $0.001000/call, status down (last checked 2026-09-15).
Returns a deep 7-day forensic report for a single x402 URL including hourly uptime, latency percentiles, status-code distribution, decoy probability, and CDP settlement analytics.
Independent risk-signal layer for x402 agentic commerce — endpoint evidence (decoy / zombie / price-trap / never-paid) before an agent authorizes payment.
A structured 7-day forensic report containing hourly uptime records, latency percentile metrics (p50, p90, p99), a distribution of HTTP status codes observed, a decoy probability score, and CDP-derived settlement count and recency for the queried x402 URL.
POSThttps://x402station.io/api/v1/forensicsUse this endpoint when you need a comprehensive historical reliability profile of a specific x402 URL — including granular latency percentiles, uptime trends, and decoy risk — rather than a quick real-time preflight check. Ideal for due diligence before integrating or repeatedly paying an x402 endpoint, or when investigating anomalous behavior over a rolling 7-day window.
{
"url": "https://api.example.com/endpoint",
"signals": [
"dead",
"zombie",
"decoy_price_extreme"
],
"webhookUrl": "https://webhook.example.com/alerts"
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"ok": false,
"metadata": {
"url": "https://api.example.com/endpoint"
},
"warnings": [
"unknown_endpoint"
]
}{
"type": "json",
"example": {
"ok": false,
"uptime": {
"errors_7d": 1008,
"probes_7d": 1008,
"healthy_7d": 0,
"uptime_7d_pct": 0
},
"latency": {
"p50_ms": null,
"p90_ms": null,
"p99_ms": null
},
"metadata": {
"url": "https://api.venice.ai/api/v1/chat/completions",
"service": "Venice",
"currency": "USDC",
"price_usdc": "0.10",
"service_id": "venice"
},
"warnings": [
"zombie",
"dead_7d",
"high_concentration"
],
"status_codes": {
"network_error": 1008
},
"concentration": {
"group_size": 1,
"catalog_total": 20338,
"concentration_pct": 0
},
"decoy_probability": 0.92
}
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