Time Series Completeness — Numeric Row Ordering + 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).
Analyzes time series completeness data by producing two local analytical reports: numeric row ordering and a date-by-category pivot table, for up to 200 rows of observed vs. expected data points.
Time series completeness — Numeric row ordering + Date by category pivot: Numeric row ordering + Date by category pivot for supplied time series completeness records (observed_points, expected_points). 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.
Returns two analytical reports computed locally on the supplied data: (1) a numeric row ordering of the time series completeness records, and (2) a date-by-category pivot table showing the selected field (observed_points or expected_points) broken down by dataset_group across dates. No external data is fetched or predicted.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-16-122?utm_source=zero.xyzChoose this endpoint when you have pre-collected time series completeness records (observed vs. expected data points) and need two structured local analytics reports — numeric row ordering and a date-by-category pivot — without requiring any live data lookup, external enrichment, or prediction. Ideal for data quality audits, ETL monitoring, or completeness dashboards where the data is already in hand and you want fast, low-cost ($0.01) dual-report output on up to 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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