{"uid":"cap_6um53B4o8QdE2dE6LjScW","slug":"tokenguard-web-extraction-91c4168c","name":"tokenguard Web Extraction","description":"Turn messy text — or any URL's page content — into structured JSON matching the shape you ask for, so an agent can consume a web page as data instead of prose","url":"https://eltociear-tokenguard.hf.space/llm/extract","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"url":{"type":"string","description":"Page to fetch and extract from (used when text is omitted)"},"text":{"type":"string","description":"Raw text to extract from"},"instruction":{"type":"string","description":"Optional extra extraction instruction"},"schema_hint":{"type":"object","description":"Target JSON shape"}}},"responseSchema":{"type":"json","example":{"data":{"plan":"Pro","price_usd":20},"provider":"llm7","source_url":"https://example.com/pricing"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Qfw3yGMigykGPTespHP-y","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches a URL or accepts raw text and converts it into structured JSON matching a caller-supplied schema shape","exampleAgentPrompt":"Fetch the page at https://en.wikipedia.org/wiki/OpenAI and extract the founding date, headquarters location, and CEO name into a JSON object with keys foundingDate, headquarters, and ceo.","exampleUseCases":[{"title":"Product page price extraction","prompt":"Grab the product page at https://www.bestbuy.com/site/apple-macbook-pro/123456.p and extract the product name, current price, availability status, and star rating into a JSON object."},{"title":"Job listing parser","prompt":"Parse this job posting text I'm pasting and pull out the job title, company name, location, salary range, and required skills as a structured JSON object: 'Senior Software Engineer at Acme Corp, remote, $150k-$180k, requires Python and AWS...'"},{"title":"News article metadata extraction","prompt":"Fetch the article at https://techcrunch.com/2024/01/15/some-article and extract the headline, author, publication date, and a one-sentence summary into JSON with keys title, author, publishedAt, and summary."}],"resultDescription":"A structured JSON object whose keys and value types conform to the schema_hint provided by the caller. When a URL is given, the endpoint first fetches the page content, then applies LLM-powered extraction to produce the requested fields. When raw text is provided, extraction runs directly on that text. The response contains only the requested data in machine-consumable form.","failureModes":["URL is inaccessible, paywalled, or returns a non-200 status — extraction returns empty or partial results","schema_hint is too complex or ambiguous — model may hallucinate fields or mismap values","Page content is mostly JavaScript-rendered (SPA) and the fetcher sees only an empty shell","Extracted values are plausible but factually wrong if the source text is ambiguous","No text or URL provided — request fails with a validation error","Rate limiting or HF Space cold-start increases latency significantly"],"whenToPreferThis":"Choose this endpoint when you need to consume an arbitrary web page or unstructured text blob as typed, schema-conforming JSON in a single API call. It is especially useful when the target page has no native API, when the schema varies per use case (since the caller supplies it at runtime), or when you want to avoid building and maintaining a bespoke scraper. Prefer alternatives if you need JavaScript rendering of a heavy SPA, real-time monitoring of page changes, or bulk batch extraction across hundreds of URLs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T21:19:50.175Z","isFirstParty":false}