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Schema Conformity Date-by-Category Pivot with Missing-Value Fill
x402
Schema Conformity Date-by-Category Pivot with Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Pivots schema conformity records (valid_records, checked_records) by date and category, with explicit missing-value fill using zero, mean, or median strategy
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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 analytical reports: a date-by-category pivot table for the selected field (valid_records or checked_records), and an explicit missing-value fill report applying the chosen strategy (zero, mean, or median), covering up to 200 input rows.
Example use cases
Data quality audit pivot for reporting
“I have 150 rows of schema conformity data with fields date, dataset_group, valid_records, and checked_records. Can you pivot them by date and category and fill any missing valid_records values using the median so I can see quality trends across groups?”
Missing-value imputation for conformity metrics
“My checked_records dataset has nulls across some date-group combinations. Can you pivot the data by date and dataset_group and fill those gaps with zero so the report is complete?”
Dual-field conformity pivot for compliance review
“I need two pivot reports from my schema conformity records — one for valid_records and one for checked_records — organized by date and category, with any missing values filled using the mean. I have about 80 rows to process.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-189?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to reshape schema conformity or data quality records into a date-by-category pivot and simultaneously impute missing numeric values — all in a single, low-cost call. It is specifically designed for valid_records and checked_records metrics and supports two reports per call, making it efficient for compliance or audit workflows with up to 200 rows.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, dataset_group, date) cause validation errors
- Null numeric values with no fill strategy fallback may produce incomplete output
- Field or method enum values outside allowed options return an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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