Agent Market Lab Web Data – Page to Structured Data is a paid API for AI agents from agent-market-lab.fidelly.eu, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Fetches a public web page and extracts structured metadata, headings, JSON-LD, Open Graph, and text content from it for autonomous agent use.
Pay-per-call public-web extraction, ecommerce data including a 10-product batch, change detection and website business research for autonomous agents via x402 on Base.
A JSON object containing: ok status, the fetched URL, HTTP status code, page metadata (title, language, description, canonical URL, Open Graph), headings array, JSON-LD array, a plain-text excerpt, a confidence rating (e.g. 'high'), provenance info (bytes read, source URL), fetch timestamp, and a flag indicating whether JavaScript rendering is likely required.
POSThttps://agent-market-lab.fidelly.eu/v1/page-to-structured-data?utm_source=zero.xyzChoose this endpoint when you need quick, pay-per-call structured extraction of a single public web page — especially for metadata, JSON-LD, Open Graph, and headings — without setting up a full scraping pipeline. It is well-suited for ecommerce product research, business intelligence on websites, and lightweight page analysis. Prefer it over heavier crawlers when you only need one page at a time and want structured output rather than raw HTML.
| Field | Type | Description |
|---|---|---|
| url | string | Absolute public HTTP or HTTPS URL to fetch and analyze. Private hosts and IP literals are rejected. |
{
"type": "json",
"example": {
"ok": true,
"data": {
"url": "https://example.com/",
"jsonLd": [],
"status": 200,
"warning": "",
"headings": [],
"metadata": {
"title": "Example Domain",
"language": null,
"openGraph": {},
"description": null,
"canonicalUrl": null
},
"fetchedAt": "2026-10-09T00:00:00.000Z",
"confidence": "high",
"provenance": {
"bytesRead": 528,
"sourceUrl": "https://example.com/"
},
"textExcerpt": "Example Domain",
"renderingLikelyRequired": false
},
"tool": "extract_webpage_data",
"requestId": "123e4567-e89b-42d3-a456-426614174000"
}
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