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Bank CSV Normalize
x402
Bank CSV Normalize is a paid API for AI agents from 402.com.tr, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Parses and normalizes bank CSV files (comma/semicolon/tab delimited) by mapping common column headers into a single unified schema with up to 500 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Parse a bank CSV (comma/semicolon/tab, quoted fields) and map common headers (date/amount/debit/credit/balance/description, TR aliases) into one schema. Up to 500 rows. Best-effort.
Output
Returns up to 500 normalized transaction rows mapped into a unified schema with standardized fields: date, amount, debit, credit, balance, and description — regardless of the original CSV delimiter style or column naming conventions. Result is delivered on a best-effort basis.
Example use cases
Normalize multi-bank statement exports
“I downloaded CSV statements from three different banks and they all have different column names — some say 'Debit' others say 'DR Amount'. Can you run them through the bank CSV normalizer so I get a consistent schema back for each one?”
Parse tab-delimited bank export for budget analysis
“My bank exported a tab-separated CSV with headers I don't recognize — can you parse and normalize it into a standard format with date, amount, and description fields so I can analyze my spending?”
Reconcile imported transactions from foreign bank
“I have a CSV from a Turkish bank with TR-style column aliases and semicolons as delimiters — can you normalize it into a unified schema with standard fields like date, amount, debit, credit, balance, and description?”
Technical details
Endpoint
GEThttps://402.com.tr/api/x402/bank-csvWhen to prefer
Use this endpoint when you have raw CSV text from a bank export and need to normalize it into a consistent schema regardless of delimiter type or column naming. Ideal when handling exports from multiple banks with differing formats, including Turkish bank aliases. Best when you need a quick, low-cost ($0.01) parse-and-map step before downstream analysis or reconciliation.
Side effects
- CSV text is malformed or not a valid CSV structure
- Columns cannot be mapped to any known header aliases — unrecognized schema returned
- Input exceeds 500 rows — only first 500 processed
- Empty or whitespace-only CSV text provided
- Non-CSV formats (e.g. XML, PDF, XLSX) passed as text will fail to parse
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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