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Seguimiento Fácil CSV Report Analyzer
x402
Seguimiento Fácil CSV Report Analyzer is a paid API for AI agents from seguimiento-facil.gregjosegf1.chatgpt.site, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-15).
Analyzes a CSV dataset to produce a structured summary including column info, row count, duplicate detection, empty cell counts, and numeric column statistics.
Price / call$0.05
Success—
StatusUnknown
How this service works
Un kit local y práctico para revisar reportes CSV, encontrar duplicados y entender tus datos.
Output
Returns a JSON object with ok:true and a summary containing: list of column names, total row count, column count, number of duplicate rows, number of empty cells, number of rows containing empty cells, and per-numeric-column statistics (min, max, sum, count, average).
Example use cases
Duplicate detection in sales report
“I have a CSV export from our sales system — can you run it through and tell me if there are any duplicate rows, how many records there are, and what the numeric summaries look like for the revenue column?”
Data quality check before import
“Before I import this CSV into our database, can you check it for empty cells, duplicate rows, and give me a breakdown of the columns and row count so I know the data is clean?”
Quick summary of survey results
“I've got a CSV of survey responses with columns like age and score — can you summarize the structure, find any gaps or duplicates, and compute the average and range for the numeric fields?”
Technical details
Endpoint
POSThttps://seguimiento-facil.gregjosegf1.chatgpt.site/api/paid-csv-report?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, structured summary of a CSV file — especially for data quality checks (duplicates, empty cells) and quick numeric profiling — without spinning up a full data pipeline or analytics tool. Ideal for lightweight pre-import validation or ad-hoc data understanding tasks.
Side effects
- Malformed or non-CSV input may cause parsing errors
- Very large CSV payloads may exceed request size limits
- Missing or empty CSV body returns an error or empty summary
- Non-numeric values in expected numeric columns may be excluded from stats
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"summary": {
"columns": [
"name",
"age"
],
"rowCount": 1,
"emptyCells": 0,
"columnCount": 2,
"duplicateRows": 0,
"numericColumns": {
"age": {
"max": 42,
"min": 42,
"sum": 42,
"count": 1,
"average": 42
}
},
"rowsWithEmptyCells": 0
}
}
}Tags
x402
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