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Data Validation Results – Date by Category Pivot
x402
Data Validation Results – 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 2026-10-17).
Pivots data validation results (checked and failed records) by date and rule category, producing a cross-tabulated summary report for up to 200 input rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data validation results - Date by category pivot: Date by category pivot for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded date by category pivot report.
Output
A pivot table report where rows represent dates and columns represent rule/category names, with each cell containing the aggregated value of the selected field (checked_records or failed_records). Covers up to 200 input rows with purely local descriptive analytics — no enrichment or forecasting.
Example use cases
Daily data quality rule breakdown
“I have validation logs from last week with columns for date, rule name, checked records, and failed records — can you pivot them by date and rule category so I can see which rules are failing most on which days?”
Monitoring pipeline validation failures
“My ETL pipeline runs daily validation checks across multiple rules. Here are 150 rows of results with dates, rule names, and failure counts — give me a pivot table showing failed_records by date and rule so I can spot problem areas.”
Data governance audit summary
“I need to prepare a data governance report. Can you take these 80 validation result records — each with a date, a category like 'schema-check' or 'referential-integrity', and counts of checked and failed records — and produce a date-by-category pivot on failed_records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular data validation results with date and rule/category dimensions and need a quick local pivot summary without any external enrichment, forecasting, or machine learning. It is ideal for data quality dashboards, pipeline monitoring, and governance reporting workflows where a cross-tab of failures by date and rule is the required output format. Best suited for batch sizes up to 200 rows at very low cost ($0.01 per call).
Side effects
- Input array is empty or missing (minItems:1 violation)
- Input exceeds 200 rows (maxItems:200 violation)
- Date fields do not match required YYYY-MM-DD pattern
- row_id missing or empty string (minLength:1 violation)
- Numeric fields out of allowed range (±1,000,000,000,000)
- Invalid field enum value (must be 'checked_records' or 'failed_records')
- Payment of 0.01 USDC not fulfilled — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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