{"uid":"cap_1Sw-Jez0Zy9Xq-c8kcJbr","slug":"vextorium-structured-data-extraction-7faa3720","name":"Vextorium Structured Data Extraction","description":"Structured data extraction with local AI: give a text and a list of field names, get a JSON object with those fields (null when absent).","url":"https://api.vextorium.com/extraer-datos-pago?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method","bodyType","body"],"properties":{"body":{"required":["texto","campos"],"properties":{"texto":{"type":"string","description":"Source text (invoice, email, message...)"},"campos":{"type":"array","items":{"type":"string"},"description":"Field names to extract"}}},"type":{"type":"string","const":"http"},"method":{"enum":["POST"],"type":"string"},"bodyType":{"enum":["json","form-data","text"],"type":"string"}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","properties":{"datos":{"type":["object","null"],"description":"Keys are the requested field names","additionalProperties":true},"modelo":{"type":["string","null"]},"campos_encontrados":{"type":["number","null"]}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.008","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.008/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.008","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_q33MoCRwVVbSadcv2AQlC","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.008","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Extracts named fields from free-form text using local AI, returning a JSON object with the requested field values (null when absent).","exampleAgentPrompt":"Extract the fields 'invoice_number', 'total_amount', 'due_date', and 'vendor_name' from this invoice text: 'Invoice #INV-2047 from Acme Corp, dated March 5 2025, total due $1,240.00 by April 1 2025.'","exampleUseCases":[{"title":"Invoice data entry automation","prompt":"I have this invoice text: 'Factura 00382 de Distribuidora Pérez, total €540, vencimiento 30 de abril de 2025.' Can you extract the fields 'invoice_number', 'vendor', 'total', and 'due_date' from it as structured JSON?"},{"title":"Customer email triage parsing","prompt":"Parse this customer email and pull out 'customer_name', 'order_id', 'issue_type', and 'contact_email': 'Hi, I'm Maria López, order #ORD-9912, my package never arrived. Reach me at maria@example.com.'"},{"title":"Payment confirmation field extraction","prompt":"From this payment confirmation message — 'Payment of $320 received from John Smith on 2025-02-14, reference TXN-88210' — extract 'payer_name', 'amount', 'date', and 'reference_id'."}],"resultDescription":"A JSON object with a 'datos' key containing the requested field names as keys and their extracted values (or null if not found in the text), plus 'modelo' (the local AI model used) and 'campos_encontrados' (count of non-null fields extracted).","failureModes":["Missing 'texto' or 'campos' in request body returns a validation error","Empty or very short text may result in all fields returning null","Ambiguous text may cause incorrect or null extractions for some fields","Requesting too many fields may reduce extraction accuracy","Non-JSON bodyType may cause parsing failures if content is malformed"],"whenToPreferThis":"Choose this endpoint when you have free-form text (invoices, emails, receipts, messages) and need to extract a specific, predefined set of named fields into structured JSON. It's ideal for document automation pipelines, form pre-filling, and ETL tasks where field names are known in advance. Prefer it over generic LLM calls when you want consistent, schema-aligned output with null-safe field handling and local AI privacy guarantees.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-01T00:51:51.447Z","isFirstParty":false,"canonicalSlug":"vextorium-structured-data-extraction-7faa3720"}