Time Series Completeness — Category Frequencies + Numeric Row Ordering

API ↗

Time Series Completeness — Category Frequencies + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Analyzes time series completeness records by computing category frequencies for dataset groups and numeric row ordering for observed/expected point values, delivering two analytical reports for up to 200 rows.

How this service works

Time series completeness — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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 independent analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a numeric row ordering ranking rows by the selected field (observed_points or expected_points). Both reports are computed locally from the supplied data with no external lookups.