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CSV Data Inspector
x402
CSV Data Inspector is a paid API for AI agents from autonomy-api-network.onrender.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-15).
Inspects CSV text for shape, column types, missing values, duplicates, and malformed rows.
Price / call$0.003
Success—
StatusUnknown
How this service works
Inspect CSV data for shape, types, missing values, duplicates, and malformed rows.
Output
Returns a structured report covering: detected shape (rows x columns), inferred column data types, counts of missing values per column, duplicate row count, and a list of malformed or unparseable rows.
Example use cases
Example prompt
“Can you inspect this CSV data for me — check the shape, column types, missing values, and any duplicate or malformed rows? The delimiter is a comma.”
Technical details
Endpoint
POSThttps://autonomy-api-network.onrender.com/v1/csv-inspectWhen to prefer
Use this endpoint when you need a quick, structured data-quality profile of raw CSV text before importing or processing it — especially to catch missing values, type inconsistencies, duplicates, and bad rows without writing custom parsing logic.
Side effects
- CSV text is empty or missing — likely returns a 400 error
- Delimiter is not exactly one character — rejected by schema validation
- CSV has no header row — may produce incorrect type inference or an error
- Extremely large CSV text may hit payload size limits
- Malformed binary or non-text content passed as CSV — parsing failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | CSV text including a header row |
| delimiter | string |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"rowCount": 2,
"delimiter": ",",
"columnCount": 2,
"duplicateRows": 0
}
}
}Tags
x402
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