Revenue Node Website Intelligence is a paid API for AI agents from revenue-node-api-production.up.railway.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-10-19).
Fetches a decision-ready intelligence report on a public website domain, including change detection, risk/opportunity scores, and technology evidence.
x402-paid decision-ready website intelligence for autonomous AI agents
Returns a JSON object containing: domain analyzed, a change object indicating if the site changed and whether this is a first observation, a decision object with a numeric score (0-100), qualitative assessment, confidence, identified risks and opportunities, and recommended actions, plus an evidence object with HTTP status, page title, security score, latency in ms, and technology stack. Also includes delivery metadata (product version, cache status).
GEThttps://revenue-node-api-production.up.railway.app/api/history?utm_source=zero.xyzChoose this endpoint when you need a structured, scored, decision-ready intelligence report on a public website domain — especially when change detection, risk/opportunity flagging, and security scoring are all required in a single call. It is particularly well-suited for autonomous agents doing competitive monitoring, sales prospecting enrichment, or vendor due diligence, where a human-interpretable assessment score and recommended actions are more useful than raw scraped HTML. Prefer it over generic scraping tools when you want pre-processed intelligence rather than raw content.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"change": {
"changed": true,
"first_observation": false
},
"domain": "example.com",
"decision": {
"risks": [],
"score": 88,
"assessment": "strong",
"confidence": 100,
"opportunities": [
"recent_public_content_change"
],
"recommended_actions": [
"Review the detected public-site change for competitive significance"
]
},
"delivery": {
"cached": false,
"product": "Revenue Node Intelligence",
"version": "5.2"
},
"evidence": {
"title": "Example",
"security": {
"score": 83
},
"latency_ms": 240,
"technology": [],
"http_status": 200
}
}
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