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Export Validation — String Normalisation + Date by Category Pivot
x402
Export Validation — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs two local analytical reports on export validation data: string normalisation of a chosen metric field and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied export validation records (valid_rows, exported_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two independent analytical reports: (1) a string normalisation report for the selected metric field (valid_rows or exported_rows) and (2) a date-by-category pivot table showing the chosen metric broken down by date and dataset_group, computed locally from the supplied rows with no external lookups.
Example use cases
Daily export pipeline quality check
“Here are my export validation records for October — each row has a dataset_group, date, valid_rows, and exported_rows. Can you run the string normalisation and date-by-category pivot on the exported_rows field so I can see how exports are distributed across groups over time?”
Comparing valid vs exported row trends
“I've got 120 export validation rows from our ETL pipeline. Run both the string normalisation and date-by-category pivot reports on the valid_rows field so I can spot which dataset groups are underperforming on which dates.”
Auditing export dataset consistency
“Can you analyze these 80 export validation records — each has a row_id, dataset_group, date, valid_rows, and exported_rows — and give me the string normalisation plus date-by-category pivot for valid_rows so I can audit consistency across groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous local analytics reports — string normalisation and date-by-category pivot — on export validation data (valid_rows/exported_rows) without requiring external lookups, live data, or predictions. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over general analytics tools when your data is already structured as export validation records with date, group, and row-count fields.
Side effects
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, dataset_group, date, valid_rows, or exported_rows) on any row
- Date field not matching YYYY-MM-DD pattern — validation error
- Invalid field enum value — must be 'valid_rows' or 'exported_rows'
- Numeric values outside allowed range (±1,000,000,000,000)
- Empty rows array — minItems:1 not satisfied
- Payment failure via x402 protocol — endpoint returns 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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