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CSV Clinic Preflight — CSV Validation & Cleanup Analyzer
x402
CSV Clinic Preflight — CSV Validation & Cleanup Analyzer is a paid API for AI agents from csv-clinic.bakongi.chatgpt.site, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-03).
Analyzes a raw CSV string and returns a detailed quality report: row/column counts, duplicate rows, blank rows, trimmed whitespace counts, header issues, and row width mismatches.
Price / call$0.05
Success—
StatusUnknown
How this service works
Free CSV cleaner: remove exact duplicate and blank rows, trim whitespace, and download a cleanup report. Files stay in your browser; no upload or account.
Output
Returns a JSON object with: validity flag (valid_csv), detected delimiter, total row and column counts, number of blank rows, duplicate rows, trimmed cells, list of empty header column indices, list of row width mismatch details, count of row width mismatches, and duplicate header groups. Provides a comprehensive structural audit of the CSV without modifying or storing the data.
Example use cases
Pre-import data quality check
“Before I load this CSV into our database, can you check it for duplicate rows, blank lines, and any columns with missing headers? Here's the data: 'id,name,email\n1,Alice,alice@example.com\n1,Alice,alice@example.com\n2,,bob@example.com\n'”
Spreadsheet export validation
“I just exported a spreadsheet to CSV and want to know if it's clean — check for row width mismatches, empty header columns, and duplicate rows. The delimiter is semicolon and here's the content: 'product;price;qty\nWidget;9.99;100\nGadget;14.99\nWidget;9.99;100\n'”
Automated ETL pipeline preflight
“As part of our data pipeline, validate this incoming CSV before processing — tell me the row and column counts, whether it's valid CSV, and flag any blank rows or cells with extra whitespace. Delimiter is pipe: 'city|country|pop\nParis|France|2161000\n |France|500000\nBerlin|Germany|3645000\n'”
Technical details
Endpoint
POSThttps://csv-clinic.bakongi.chatgpt.site/api/csv/preflight?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, stateless structural audit of a CSV before importing, transforming, or storing it — especially when you want to detect duplicates, blank rows, whitespace noise, and header anomalies in a single call without uploading the file to a third-party server. Ideal for agent-driven ETL pipelines, pre-import validation steps, or user-facing data quality checks where privacy matters and no data persistence is acceptable.
Side effects
- CSV exceeds 256 KiB limit — request rejected
- Malformed JSON body or missing 'csv' field — 400 error
- Delimiter mismatch between specified and actual CSV content — may produce incorrect column counts
- Completely empty CSV string — may return zero rows/columns with valid_csv false
- Network timeout for very large files near size limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"rows": 1,
"status": "ok",
"columns": 2,
"service": "CSV Clinic Preflight API",
"delimiter": "comma",
"valid_csv": true,
"blank_rows": 0,
"trimmed_cells": 0,
"duplicate_rows": 0,
"empty_header_columns": [],
"row_width_mismatches": [],
"duplicate_header_groups": [],
"row_width_mismatch_count": 0
}
}Tags
x402
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