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StatementKit: Bank Statement Parser
x402
StatementKit: Bank Statement Parser is a paid API for AI agents from statementkit.erikssonanton2001.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-17).
Parses bank statement files (CSV, camt.052/053/054, MT940, OFX/QFX, QIF) into normalized JSON with transaction-level detail and optional CSV/hledger/SIE4 export
Price / call$0.005
Success—
StatusUnknown
How this service works
Deterministic bank statement normalizer for AI agents and bookkeeping tools: CSV from any bank, camt.052/053/054, MT940, OFX/QFX and QIF in; normalized JSON, analysis and CSV/hledger/SIE4 export out.
Output
Returns a JSON object containing: detected format, metadata (row count, detected columns, decimal/delimiter/date settings, truncation flag), an array of accounts each with IBAN, name, currency, opening/closing balances, and a transactions array. Each transaction includes a unique ID, date, value date, amount (signed), direction (in/out), currency, description, reference, OCR number, end-to-end ID, counterparty, and balance after. Also includes a warnings array for any parse issues.
Example use cases
Bookkeeping automation from CSV exports
“I downloaded my business bank account CSV from Handelsbanken — can you parse it into normalized JSON so I can import the transactions into my accounting system? The decimal separator is a comma and dates are in day-month-year format.”
Reconciling camt.053 statements
“I have a camt.053 XML file from my corporate bank account. Parse it into structured JSON so I can reconcile it against our internal ledger — include the raw source fields for each transaction.”
Converting QIF to hledger-compatible format
“I've got an old QIF export from my personal bank. Can you parse it and give me back normalized transactions with directions and balances so I can load it into hledger?”
Technical details
Endpoint
POSThttps://statementkit.erikssonanton2001.workers.dev/v1/parse?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based parsing of structured bank statement formats (CSV, camt, MT940, OFX, QFX, QIF) into normalized JSON. It is purpose-built for bookkeeping and accounting automation workflows where consistency and field-level control (column mapping, decimal separator, date format) matter. Prefer it over general-purpose LLM-based extraction when you need reliable transaction IDs, signed amounts, direction flags, and balance tracking across multiple bank formats.
Side effects
- Unsupported file format (PDF or scanned image) — returns error since only text-based formats are supported
- Ambiguous CSV columns without a column mapping — may misidentify date, amount, or description fields
- Missing currency in file with no fallback provided — currency field on transactions may be null
- Malformed or truncated file content — warnings array will flag issues, some transactions may be missing
- Wrong date format causing parse failures — override with dateFormat parameter to resolve
- Non-UTF-8 encoding — content must be passed as UTF-8 text
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| format | string | Skip auto-detection. |
| columns | object | CSV: map field names (date, amount, description, ...) to exact header names. |
| content | string | The statement file as text (UTF-8). PDF and scanned images are not supported. |
| decimal | string | CSV decimal separator override. |
| currency | string | Fallback ISO 4217 currency when the file has none, e.g. SEK. |
| delimiter | string | CSV delimiter override: comma, semicolon, tab or pipe. |
| dateFormat | string | CSV date order override for ambiguous dates. |
| includeRaw | boolean | Add the raw source fields to every transaction. |
Output
Schema · Response
{
"type": "json",
"example": {
"meta": {
"rows": 4,
"decimal": ",",
"delimiter": ";",
"truncated": false,
"dateFormat": "dmy",
"detectedColumns": {
"date": "Bokföringsdatum",
"amount": "Belopp",
"balance": "Saldo",
"reference": "Verifikationsnummer",
"valueDate": "Valutadatum",
"description": "Text"
}
},
"format": "csv",
"accounts": [
{
"iban": null,
"name": null,
"currency": "SEK",
"transactions": [
{
"id": "ff1a637e10b6cbbb",
"ocr": null,
"date": "2026-03-02",
"amount": 32500,
"currency": "SEK",
"direction": "in",
"reference": "5001",
"valueDate": "2026-03-02",
"endToEndId": null,
"description": "Lön Acme AB",
"balanceAfter": 41200.5,
"counterparty": null
},
{
"id": "3cbcc9a094dcd39a",
"ocr": null,
"date": "2026-03-03",
"amount": -129,
"currency": "SEK",
"direction": "out",
"reference": "5002",
"valueDate": "2026-03-03",
"endToEndId": null,
"description": "Netflix.com",
"balanceAfter": 41071.5,
"counterparty": null
},
{
"id": "afaab09a8e366eba",
"ocr": null,
"date": "2026-03-05",
"amount": -842.35,
"currency": "SEK",
"direction": "out",
"reference": "5003",
"valueDate": "2026-03-05",
"endToEndId": null,
"description": "ICA Maxi Stockholm",
"balanceAfter": 40229.15,
"counterparty": null
},
{
"id": "470cc2a77723cc1d",
"ocr": null,
"date": "2026-03-07",
"amount": -615.4,
"currency": "SEK",
"direction": "out",
"reference": "5004",
"valueDate": "2026-03-07",
"endToEndId": null,
"description": "Vattenfall Eldistribution",
"balanceAfter": 39613.75,
"counterparty": null
}
],
"accountNumber": null,
"closingBalance": null,
"openingBalance": null
}
],
"warnings": []
}
}Tags
x402
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