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Vextorium Structured Data Extraction
x402
Vextorium Structured Data Extraction is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.008/call, status unknown (last checked 2026-10-01).
Extracts named fields from free-form text using local AI, returning a JSON object with the requested field values (null when absent).
Price / call$0.008
Success—
StatusUnknown
How this service works
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).
Output
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).
Example use cases
Invoice data entry automation
“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?”
Customer email triage parsing
“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.'”
Payment confirmation field extraction
“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'.”
Technical details
Endpoint
POSThttps://api.vextorium.com/extraer-datos-pago?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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