Time Series Completeness — IQR Outlier Flags + Date by Category Pivot

API ↗

Time Series Completeness — IQR Outlier Flags + 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 2026-10-19).

Analyzes time series completeness records (observed vs expected data points) by running IQR-based outlier detection and a date-by-category pivot table, returning two analytical reports for up to 200 rows.

How this service works

Time series completeness — IQR outlier flags + Date by category pivot: IQR outlier flags + 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.

Output

Returns two analytical reports: (1) IQR outlier flags identifying which rows have values outside the interquartile range for the selected field (observed_points or expected_points), and (2) a date-by-category pivot table cross-tabulating the selected metric across dates and dataset_group values. Both reports are computed locally with no external lookups.