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Strale Receipt Categorizer
x402
Strale Receipt Categorizer is a paid API for AI agents from api.strale.io, paid per call via x402, $0.054001/call, status unknown (last checked 2026-09-13, last successful call 2026-05-01).
Extracts and categorizes structured data from a receipt image or text, returning vendor, date, amount, tax, currency, expense category, and line items ready for expense reports.
Price / call$0.054001
Success100%
StatusUnknown
How this service works
Extract and categorize receipt data. Returns vendor, date, amount, tax, currency, expense category, line items. Ready for expense reports.
Output
Returns structured receipt data including vendor name, transaction date, total amount, tax amount, currency code, inferred expense category (e.g. meals, travel, software), and an array of individual line items — ready to paste into an expense report.
Example use cases
Example prompt
“Can you extract the vendor, date, total, tax, currency, and expense category from this receipt? Here's the image URL: https://example.com/receipts/lunch-invoice.jpg”
Technical details
Endpoint
GEThttps://api.strale.io/x402/receipt-categorizeWhen to prefer
Use this endpoint when you have a receipt (as an image URL, base64 string, or raw text) and need structured fields — vendor, date, amount, tax, currency, expense category, line items — without building your own OCR or parsing pipeline. Ideal for automating expense report workflows or bookkeeping integrations.
Side effects
- Image URL is inaccessible or returns 4xx/5xx — extraction fails
- Base64 or image_url contains a non-receipt image — returns empty or incorrect fields
- Receipt text is too blurry or low-resolution to parse — partial results returned
- Unsupported currency or locale on receipt — currency field may be null
- All three input params (text, base64, image_url) omitted — returns validation error
Input
{
"text": "Vendor: Coffee House Cafe\nDate: 2024-01-15\nItems:\n- Espresso $4.50\n- Croissant $3.75\nSubtotal: $8.25\nTax: $0.66\nTotal: $8.91\nCurrency: USD"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
{
"date": "2024-01-15",
"_meta": {
"payment": {
"method": "x402",
"price_usd": 0.054000000000000006,
"settlement_id": "0xa9381b0cb35c3a56c96604de57a62d63fa6982355d4027f05f55ad19094a7c31"
},
"capability": "receipt-categorize",
"latency_ms": 1500,
"provenance": {
"source": "claude-haiku",
"fetched_at": "2026-06-13T04:24:14.426Z"
}
},
"category": "meals",
"currency": "USD",
"subtotal": 8.25,
"line_items": [
{
"amount": 4.5,
"quantity": 1,
"unit_price": 4.5,
"description": "Espresso"
},
{
"amount": 3.75,
"quantity": 1,
"unit_price": 3.75,
"description": "Croissant"
}
],
"tax_amount": 0.66,
"tip_amount": null,
"vendor_name": "Coffee House Cafe",
"total_amount": 8.91,
"card_last_four": null,
"payment_method": null,
"expense_report_fields": {
"date": "2024-01-15",
"amount": 8.91,
"vendor": "Coffee House Cafe",
"category": "meals",
"currency": "USD",
"description": "Coffee and pastry at Coffee House Cafe"
}
}Tags
x402
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