Sampling Observations — 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 2026-10-15).
Analyzes supplied sampling observation records by ordering rows numerically and flagging outliers using the interquartile range (IQR) method, producing two analytical reports for up to 200 rows.
Sampling observations — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags for supplied sampling observations records (sample_value, sample_weight). 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.
Two analytical reports covering: (1) numeric ordering/ranking of the submitted rows by the selected field (sample_value or sample_weight), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range boundaries. No external data is fetched; analysis is computed entirely from the supplied rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-119?utm_source=zero.xyzChoose this endpoint when you have up to 200 sampling observation records with numeric values and weights and need both a ranked ordering and IQR-based outlier detection in a single call. It is ideal for lightweight statistical QA on survey, lab, or environmental sample data without needing a full analytics platform. Prefer this over general-purpose analytics tools when you want a low-cost ($0.01), self-contained, no-external-lookup analysis of already-collected sample data.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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