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agent402.tools CSV Lint
x402
agent402.tools CSV Lint is a paid API for AI agents from agent402.tools, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).
Validates CSV text for structural integrity: consistent column counts, properly closed quotes, and delimiter detection, returning row/column counts and any errors found.
Price / call$0.001
Success—
StatusUnknown
How this service works
Validate CSV structure: consistent column counts across rows, properly closed quotes, delimiter detection. Returns row/column counts and any structural errors. Pure CPU.
Output
Returns the number of rows and columns found, the detected or confirmed delimiter, and a list of any structural errors such as rows with inconsistent column counts or improperly closed quotes.
Example use cases
Example prompt
“Can you check this CSV for structural problems — consistent column counts, closed quotes, and correct delimiter? Here's the text: 'name,age,city\nAlice,30,New York\nBob,25'”
Technical details
Endpoint
POSThttps://agent402.tools/api/csv-lintWhen to prefer
Use this endpoint when you need a lightweight, pure-CPU check of CSV structural integrity before ingesting or processing data — especially to catch column count inconsistencies and quote escaping issues without loading the data into a full parser or database.
Side effects
- Empty or missing 'text' field returns an error
- Extremely large CSV text may time out or be rejected
- Ambiguous delimiter may be misdetected if not specified
- Non-text binary content will fail parsing
- Malformed JSON request body returns a 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | CSV text to validate |
| delimiter | string | column delimiter (default ",") |
Output
Schema · Response
{
"type": "json",
"example": {
"rows": 3,
"valid": true,
"errors": [],
"columns": 3,
"delimiter": ","
}
}Tags
x402
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