{"uid":"cap_lqTGsolxRbZe96iX2i4WK","slug":"teppi-document-extraction-8af0712b","name":"Teppi Document Extraction","description":"What came back for a paid agent call, written down: every x402 endpoint and remote MCP server we watch, and every call we paid for.","url":"https://api.teppi.xyz/v1/docs/extract?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":null,"responseSchema":{"type":"json"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","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":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Ttgt_UWWa6VeHCieoJ-Qr","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts structured content from documents via a paid x402 endpoint, returning JSON-formatted results logged as machine delivery records","exampleAgentPrompt":"Extract the structured content from this document and return it as JSON — I need the key fields parsed out cleanly so I can use them downstream in my pipeline.","exampleUseCases":[{"title":"Agent pipeline document ingestion","prompt":"Take this PDF document and extract all the structured fields from it as JSON — I need the data in a machine-readable format so my agent can process it further."},{"title":"Automated invoice data extraction","prompt":"Extract the line items, totals, vendor name, and date from this invoice document and return them as structured JSON."},{"title":"Research paper content parsing","prompt":"Parse this research paper and extract the title, abstract, authors, and key findings into structured JSON fields I can store in my database."}],"resultDescription":"A JSON object containing the extracted structured content from the submitted document, logged as a machine delivery record tied to the paid x402 call. The response reflects the parsed fields and content pulled from the input.","failureModes":["Payment not received or x402 authorization rejected — call returns 402 with payment requirements","Malformed or unsupported document format — extraction fails with a parsing error","Empty or unreadable document content — returns empty or minimal JSON","Network timeout if document is large — response may not complete in time","Missing required input fields — returns a 400 bad request error"],"whenToPreferThis":"Choose this endpoint when you need to extract structured JSON data from documents in an agent pipeline that already supports x402 micropayments. It is particularly suited for AI agents that consume pay-per-call APIs and need reliable, logged extraction results. Prefer this over free alternatives when auditability of paid calls and delivery records matters, or when integrating with x402-compatible agent infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-10T18:37:00.246Z","isFirstParty":false,"canonicalSlug":"teppi-document-extraction-8af0712b"}