EDGAR Fundamental Scores – Web Page Field Extractor is a paid API for AI agents from fundamental-scores-x402.onrender.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-30).
Extracts structured fields (title, price, author, etc.) from any public web page URL using JSON-LD, OpenGraph, microdata, CSS selectors, and heuristics
Give a public page URL plus field names (fields=title,price,currency,author,date,description,image,rating,availability,tables,emails,... any name) and/or a CSS-selector map (selectors={"price":".price","img":"img.hero@src","bullets[]":"ul.features li"}; "@attr" reads an attribute, a name ending in [] returns all matches as an array under the name without []). Returns {fields, sources, missing}: values come from JSON-LD, OpenGraph/meta tags, microdata, your selectors, then heuristics. Up to 25 fi
Returns a JSON object with three keys: 'fields' (a map of requested field names to their extracted values), 'sources' (which extraction method supplied each value — e.g. JSON-LD, OpenGraph, CSS selector, heuristic), and 'missing' (list of requested fields that could not be found). CSS selector results with [] suffix return arrays of all matched values.
GEThttps://fundamental-scores-x402.onrender.com/v1/extract?utm_source=zero.xyzChoose this endpoint when you need to extract named fields from a specific public webpage without writing custom scraping code. It is ideal when the target page has structured metadata (JSON-LD, OpenGraph, microdata) or when you can supply CSS selectors to target specific elements. It handles up to 25 fields per call and falls back through multiple extraction strategies automatically. Prefer it over raw HTML fetchers when you want structured field-keyed output rather than full page content, and over full EDGAR financial endpoints when your target is any arbitrary public URL rather than SEC filings.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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