# Invoice Parser

> Invoice Parser is a paid API for AI agents from 6xrkjcfa3yrzvefcpvanurzou4.srv.us, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Parses a PDF invoice or receipt from a URL into structured fields including vendor, invoice number, dates, totals, tax, currency, and line items, returning a parse quality score and verdict.

## Facts

- Endpoint: GET https://6xrkjcfa3yrzvefcpvanurzou4.srv.us/api/invoice-parse?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/invoice-parser-5eec5946
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_K9KobJ4xS97dFXw_Hh8dT

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability invoice-parser-5eec5946
```

Example prompt: Can you parse this PDF invoice at https://example.com/invoice-2024.pdf and extract the vendor, invoice number, dates, line items, totals, tax, and currency for me?

## When to prefer this

Choose this endpoint when you need to extract structured data from a PDF invoice or receipt document accessible via a URL, without requiring an API key, account, or data storage. It is ideal for keyless, privacy-preserving invoice parsing where documents are processed locally and never retained. Prefer it over OCR-based services when the PDF has a native text layer (not scanned), as PyMuPDF text extraction is fast and accurate for such documents.

## Known failure modes

- UNREACHABLE verdict if the PDF URL cannot be fetched or times out
- NO_TEXT verdict if the PDF has no extractable text layer (e.g. scanned image-only PDF)
- Low invoice_parse_score (F/D) if extracted text does not match expected invoice structure
- Missing or null fields when invoice does not contain standard sections like tax or line items
- Malformed URL input returns an error without attempting to fetch the document

## How this service works

Pdf invoice parse - parse a PDF invoice or receipt into structured fields: vendor, invoice number, dates, totals, tax, currency and line items. GET ?url= OR ?document_url= OR ?file= OR ?sample=1|2|3 OR POST application/json with url|document_url. KEYLESS - the PDF text layer is extracted locally with PyMuPDF, no key, no account, no signup, and the document is never stored. Returns an invoice_parse_score 0-100 A-F with a PARSED / NO_TEXT / UNREACHABLE verdict. MEASURED DEMAND: the router's...

## Output

A JSON object containing structured invoice fields: vendor name, invoice number, issue and due dates, subtotal, tax amount, grand total, currency, and an array of line items. Also returns an invoice_parse_score (0–100, graded A–F) and a verdict of PARSED, NO_TEXT, or UNREACHABLE indicating extraction success.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object"
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/invoice-parser-5eec5946/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from 6xrkjcfa3yrzvefcpvanurzou4.srv.us](https://www.zero.xyz/host/6xrkjcfa3yrzvefcpvanurzou4.srv.us/llms.txt)