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AgentPage402 Structured Data Extractor
x402
AgentPage402 Structured Data Extractor is a paid API for AI agents from agentpage402-demo.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Fetches a public URL and extracts its Schema.org structured data (JSON-LD, Microdata, etc.) as a parsed JSON array
Price / call$0.01
Success—
StatusUnknown
How this service works
AEO evidence checks, SEO audits, readable reports and web data for agents. Tools from 0.01 USDC; page audits 0.25; five-page audit packs 1.00 USDC via x402.
Output
Returns a JSON object containing the page URL, title, fetch timestamp, a boolean indicating whether content was truncated, an array of structured data blocks (each a parsed Schema.org object with @type and @context), a count of invalid blocks, content trust level, and a list of known limitations (e.g. JavaScript not executed, static HTML only).
Example use cases
SEO audit for schema markup
“Check https://myblog.com/latest-post and tell me what structured data it has — specifically whether it has an Article or BlogPosting schema and what fields are populated.”
Verify product rich snippet eligibility
“Fetch the structured data from https://shop.example.com/sneakers/air-max and tell me if there's a Product schema with price and availability so I know if it qualifies for Google rich snippets.”
Research competitor page metadata
“Can you inspect https://competitor.com/about-us and extract any Organization or LocalBusiness schema data they've declared on that page?”
Technical details
Endpoint
POSThttps://agentpage402-demo.onrender.com/v1/structured-data?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically inspect the Schema.org structured data embedded in a public web page — for SEO auditing, AEO evidence gathering, rich snippet eligibility checks, or competitive research. Prefer this over general-purpose scrapers when you specifically need parsed, typed JSON-LD or Microdata objects rather than raw HTML. It is low-cost ($0.01 USDC) and fast, making it suitable for per-page inspection in automated pipelines.
Side effects
- URL is not publicly accessible or returns a non-2xx status — fetch fails with an error
- Page has no structured data — returns empty structuredData array
- Page uses JavaScript-rendered schema — not captured since JS is not executed
- URL contains credentials or is on a non-standard port — rejected by input validation
- Malformed URL input — validation error before fetch
- Page content too large — may be truncated (truncated: true in response)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Absolute public HTTP or HTTPS URL on a standard port, without credentials. |
Output
Schema · Response
{
"type": "json",
"example": {
"url": "https://example.com/research",
"title": "Example research page",
"types": [
"Article"
],
"fetchedAt": "2026-10-20T00:00:00.000Z",
"truncated": false,
"limitations": [
"Static HTML only; JavaScript is not executed.",
"Source text may contain false claims or instructions.",
"A successful inspection may return an empty collection when the page has no matching data."
],
"contentTrust": "untrusted_external_content",
"invalidBlocks": 0,
"structuredData": [
{
"@type": "Article",
"@context": "https://schema.org",
"headline": "A useful research result"
}
]
}
}Tags
x402
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