All projects matching “web-extraction”

Extrae el contenido de una URL y lo devuelve limpio en Markdown/HTML para el contexto de un LLM.

Extract clean structured content from a public web page

Extract up to ten URLs in one paid call.

Read the mandatory public disclosure of one domain and return company, postal address, e-mail, phone, VAT and register data with a source for every value.

Extract clean, LLM-ready Markdown or plain text from up to 5 public webpage URLs. Removes page boilerplate and returns structured per-URL results for AI agents, RAG ingestion, research and summarization.

URL-to-Markdown web extraction and context compression for AI agents. Fetch a public web page and return clean, task-relevant, citation-verifiable LLM context with exact excerpts, locators, hashes, and estimated tokens saved. Use before an agent summarizes, answers questions from, or cites a long or noisy URL. Deterministic and model-free. Public HTML only; no PDFs, logins, or JavaScript-only page

Diagnose a public x402 origin with 25 linter and 14 compliance checks, plus six separate request-example/schema and challenge consistency diagnostics. Use quote_mode fast for an immediate 402, resend unchanged input with one payment proof, then poll using the returned capability. Successful reports are stored before settlement. Examples are checked offline, never replayed; unsupported schemas stay

Fetch one public static HTML page after robots and public-address checks, then return bounded readable text, title, final URL and source links. Standard x402: POST the URL, sign the 402 and resend the same body. The 402 also returns an encrypted payment_request that pays for exactly the quoted fetch. No browser, login, summary or full-site crawl.

Extract clean, LLM-ready Markdown or token-efficient text from any public webpage for RAG ingestion, research, summarization, or agent context. Strips navigation, ads, scripts, forms, and repeated boilerplate; preserves headings and resolved links; labels fetched content as untrusted; and returns at most 50,000 characters.