Time Series Completeness — Numeric Row Ordering + IQR Outlier Flags

API ↗

Time Series Completeness — Numeric Row Ordering + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Analyzes up to 200 time series completeness records (observed_points vs expected_points) to produce numeric row ordering and IQR-based outlier flags across two independent reports.

How this service works

Time series completeness — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags 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 per call: (1) numeric ordering of the submitted rows by the selected field (observed_points or expected_points), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. No external lookups or predictions are made — all analysis is performed on the supplied data only.