Revenue Node Website Intelligence is a paid API for AI agents from revenue-node-api-production.up.railway.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-16).
Analyzes a public website domain and returns a decision-ready intelligence report including change detection, risk/opportunity scoring, security signals, and recommended actions for AI agents
x402-paid decision-ready website intelligence for autonomous AI agents
A JSON object containing: change detection (whether the site changed and if it's a first observation), a decision block (numeric score 0-100, qualitative assessment, confidence percentage, list of risks, list of opportunities, and recommended actions), delivery metadata (cache status, product name, version), and evidence block (page title, security score, HTTP status, latency in ms, detected technology stack).
GEThttps://revenue-node-api-production.up.railway.app/api/intelligence?utm_source=zero.xyzChoose this endpoint when you need a structured, decision-ready intelligence report on a public website domain — especially for competitive monitoring, change detection, or security scoring — and want pre-packaged risk/opportunity signals with recommended actions rather than raw HTML or generic scraping results. Particularly well-suited for autonomous AI agents that need to act on website changes without manual interpretation, and for workflows that benefit from the x402 micropayment model ($0.15 USDC per call) rather than a subscription.
| 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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