# Bank CSV Normalize

> 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.

## Facts

- Endpoint: GET https://402.com.tr/api/x402/bank-csv
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/bank-csv-normalize-4be7138f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Bs5HVBqPhkqNT0YGS84uS

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 bank-csv-normalize-4be7138f
```

Example prompt: Can you normalize this bank CSV I exported? It has semicolon separators and weird column names — I need it mapped to a standard date/amount/description schema. Here's the CSV text: [paste CSV here].

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## 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"
     ],
     "type": "string"
    },
    "pathParams": {
     "type": "object"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "text"
     ],
     "properties": {
      "text": {
       "type": "string",
       "description": "CSV text"
      }
     }
    }
   },
   "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/bank-csv-normalize-4be7138f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from 402.com.tr](https://www.zero.xyz/host/402.com.tr/llms.txt)