Time Series Completeness — IQR Outlier Flags + Secondary-Measure Weighted Mean

API ↗

Time Series Completeness — IQR Outlier Flags + Secondary-Measure Weighted Mean 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) using IQR-based outlier detection and secondary-measure weighted mean, delivering two analytical reports for up to 200 rows.

How this service works

Time series completeness — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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: (1) IQR outlier flags for each row indicating whether the specified field (observed_points or expected_points) is a statistical outlier based on interquartile range, and (2) a secondary-measure weighted mean computed across the supplied rows. Both reports are derived entirely from the supplied data with no external lookups.