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Agent Tools Document Extract (URL)
x402
Agent Tools Document Extract (URL) is a paid API for AI agents from agents.crowdspark.me, paid per call via x402, $0.012/call, status unknown (last checked 2026-10-31).
Parses a PDF or image URL using OCR and extracts full text plus structured fields (dates, amounts, totals, identifiers, tables, key-value pairs, emails, phones, URLs)
Price / call$0.012
Success—
StatusUnknown
How this service works
Pay-per-call utilities for AI agents over x402, USDC on Base.
Output
A JSON object containing: the document kind (pdf or image), the full extracted text, page count, character count, and a structured fields object with arrays of dates, email addresses, phone numbers, URLs, monetary amounts, totals (with labels like 'total', 'tax', 'amount due'), identifiers (invoice/order numbers), simple tables, and key-value pairs extracted from the document.
Example use cases
Automated invoice data entry
“I have a supplier invoice at https://acme.com/invoices/inv-2045.pdf — can you extract the invoice number, date, line item totals, tax, and amount due so I can enter them into our accounting system?”
Receipt total extraction for expense reports
“Here's a receipt image from our last team lunch: https://cdn.company.com/receipts/lunch-mar21.jpg — can you pull out the total, tax, date, and any line items so I can file my expense report?”
Scanned form field parsing
“I've got a scanned onboarding form as a PDF at https://storage.example.com/forms/client-intake-signed.pdf — can you extract all the filled-in fields like name, email, phone, and any dates or amounts?”
Technical details
Endpoint
GEThttps://agents.crowdspark.me/v1/document/extract?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a publicly accessible URL pointing to a PDF or image document (invoice, receipt, form, statement, scanned page) and need both the raw text and structured field extraction in a single call. Prefer this over the POST upload variant when the document is already hosted at a reachable URL. Prefer this over general-purpose LLM vision when you need reliably structured output fields (amounts, dates, identifiers, tables) rather than free-form description.
Side effects
- URL is not publicly accessible or requires authentication — returns an error
- URL does not point to a supported format (PDF, PNG, JPEG, WebP) — format error
- PDF has no extractable text layer and no embedded image for OCR — empty text result
- Document is too large or times out during download — timeout error
- Scanned image is too low resolution for accurate OCR — degraded field extraction
- Malformed or invalid URL — bad request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"kind": "pdf",
"text": "INVOICE\nInvoice #: INV-1042\nDate: 2026-10-01\nTotal: $1,250.00",
"pages": 1,
"fields": {
"urls": [],
"dates": [
"2026-10-01"
],
"emails": [],
"phones": [],
"tables": [],
"totals": [
{
"label": "total",
"value": "$1,250.00"
}
],
"amounts": [
"$1,250.00"
],
"key_values": {
"Date": "2026-10-01",
"Invoice": "INV-1042"
},
"identifiers": [
"Invoice #: INV-1042"
]
},
"characters": 1840
}
}Tags
x402
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