Time Series Completeness — Record Quality Audit & Grouped Numeric Summary

API ↗

Time Series Completeness — Record Quality Audit & Grouped Numeric Summary 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).

Runs two analytical reports on supplied time series completeness data (observed vs expected points): a record quality audit and a grouped numeric summary, for up to 200 rows.

How this service works

Time series completeness — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 record quality audit that flags issues such as missing values, nulls, or anomalies in the supplied rows, and (2) a grouped numeric summary that aggregates the chosen field (observed_points or expected_points) by dataset_group, providing statistics like count, mean, min, max, and totals per group. Both reports are computed locally on the supplied data with no external lookups.