Time Series Completeness — Category Frequencies & Adjacent Row Changes

API ↗

Time Series Completeness — Category Frequencies & Adjacent Row Changes 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 data by computing category frequencies and adjacent row-to-row changes for up to 200 rows, returning two local analytical reports per call.

How this service works

Time series completeness — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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 for the submitted rows: (1) a category frequency breakdown showing how often each dataset_group appears, and (2) an adjacent row change report showing the delta in the selected field (observed_points or expected_points) between consecutive rows — all computed locally without any external lookup or prediction.