Dataset Partition Sizes — Date×Category Pivot + 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 2026-10-19).
Produces two analytical reports from dataset partition records: a date-by-category pivot table and an explicit missing-value fill, for up to 200 rows of row_count or file_mb data.
Dataset partition sizes — Date by category pivot + Explicit missing-value fill: Date by category pivot + Explicit missing-value fill for supplied dataset partition sizes records (row_count, file_mb). 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.
Two analytical reports: (1) a pivot table with dates as rows and dataset_group values as columns, showing the selected metric (row_count or file_mb); (2) the same records with missing values explicitly filled using the chosen method (zero, mean, or median). Both computed locally without external data.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-189?utm_source=zero.xyzChoose this endpoint when you have up to 200 dataset partition records (with row_count or file_mb metrics) and need both a date×category pivot and explicit missing-value imputation in a single low-cost call. It is ideal for data engineering pipelines that need to inspect partition distributions over time across dataset groups, without requiring a live database or external analytics service.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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