Time Series Completeness — String Normalisation + Category Frequencies

API ↗

Time Series Completeness — String Normalisation + Category Frequencies 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 (observed vs expected data points) by running two local analytical reports: string normalisation and category frequency analysis, on up to 200 rows.

How this service works

Time series completeness — String normalisation + Category frequencies: String normalisation + Category frequencies 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 string normalisation report that standardises the dataset_group and other string fields, and (2) a category frequency report showing how often each dataset group or category appears across the submitted records. Both reports are computed locally from the supplied data with no external lookups.