{"uid":"cap_IrrgHAaLk14INEnQRiRwK","slug":"orbonomy-llm-extract-c0eff248","name":"Orbonomy LLM Extract","description":"50+ pay-per-call API endpoints across accommodation, AI, content, fact-checking, and data services. Powered by x402 protocol.","url":"https://api.orbonomy.xyz/api/llm/extract","method":"POST","headers":{},"bodySchema":{"type":"object","required":["text","fields","format"],"properties":{"text":{"type":"string"},"fields":{"type":"array"},"format":{"type":"string"}}},"responseSchema":{"type":"object","properties":{"success":{"type":"boolean"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.1","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"settled","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":"$0.1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_xSTdaarp1NYdMO3xx34fa","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.1","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts structured fields from unstructured text using LLM-powered parsing, returning user-specified fields in a chosen format","exampleAgentPrompt":"Extract the fields 'company_name', 'founding_year', and 'headquarters_city' from this text in JSON format: 'Acme Corp was founded in 1998 and is headquartered in Austin, Texas, where it has grown into a leading widget manufacturer.'","exampleUseCases":null,"resultDescription":"Returns a JSON object with a success boolean and the extracted field values mapped from the input text according to the requested fields and format specification","failureModes":["Missing required fields (text, fields, or format) returns a 400 error","Text too long may exceed LLM context limits","Ambiguous or poorly specified fields may result in incomplete or null extractions","Payment failure via x402 protocol returns 402 Payment Required","Unsupported format value may cause parsing errors"],"whenToPreferThis":"Use this endpoint when you need to extract specific named fields from arbitrary unstructured text in a pay-per-call model without managing your own LLM infrastructure; ideal for one-off extraction tasks across varied document types","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:50:30.606Z","isFirstParty":false}