Time Series Completeness — Category Frequencies + Trailing Mean Series

API ↗

Time Series Completeness — Category Frequencies + Trailing Mean Series 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 and a trailing mean series across up to 200 rows in two independent analytical reports.

How this service works

Time series completeness — Category frequencies + Trailing mean series: Category frequencies + Trailing mean series 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 breakdown showing how often each dataset_group appears across the supplied rows, and (2) a trailing mean series computed over the specified rolling window for the selected numeric field (observed_points or expected_points). Both reports are derived locally from the supplied data with no external lookups.