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AGISHub Structured Extraction
x402
AGISHub Structured Extraction is a paid API for AI agents from api.agishub.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-27).
Renders a web page in a headless browser, then uses AI to extract structured JSON data from it based on a natural-language prompt and/or a JSON Schema.
Price / call$0.05
Success—
StatusUnknown
How this service works
One install → every tool for your AI agent. Wallet-native, pay-per-call, no keys (x402). Connect Claude, Cursor, OpenClaw or any MCP client with a single command, or call the x402 HTTP API and pay per request in USDC on Base. 34 tools: AI, web search & scraping, data & analytics, market data, media generation, developer tools, memory — all discoverable and free to try over MCP.
Output
A JSON object whose shape is determined by the provided JSON Schema (if given) or inferred from the natural-language prompt. Fields typically include whatever named attributes the user requested (e.g. productName, price, rating). The response wraps this in a 'result' key.
Example use cases
E-commerce price and rating scraper
“Pull the product name, price, and customer rating from this Amazon listing — https://www.amazon.com/dp/B09G9FPHY6 — and return it as clean JSON.”
Job posting data extraction
“Go to https://jobs.lever.co/stripe/xyz and extract the job title, location, salary range, and required years of experience as a structured JSON object.”
News article metadata harvesting
“Scrape https://www.nytimes.com/2024/05/01/technology/ai-regulation.html and return the article title, author name, publication date, and a one-sentence summary in JSON format.”
Technical details
Endpoint
GEThttps://api.agishub.com/v1/extract-structured?utm_source=zero.xyzWhen to prefer
Choose this endpoint when the target page is a JavaScript-rendered SPA that a simple HTTP fetch cannot parse, or when you want AI-driven field identification via a natural-language prompt rather than brittle CSS selectors. It is ideal for one-off or ad-hoc extractions where you don't want to write a custom scraper. Prefer it over generic scraping tools when you need structured, schema-conformant JSON output directly, especially for e-commerce, job listings, or editorial content pages.
Side effects
- URL is unreachable or returns a non-200 status — extraction fails with an error
- Page requires authentication or a CAPTCHA — headless browser cannot access content
- Prompt is too vague and AI cannot confidently identify the requested fields — returns partial or empty result
- Provided JSON Schema has conflicting constraints that cannot be satisfied by page content
- JavaScript-heavy SPA takes too long to render — timeout error
- Requested data simply does not exist on the page — returns null fields
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "AI-powered structured extraction: give a URL plus a natural-language prompt and/or a JSON Schema, and get back clean str"
}
}Tags
x402
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