Duplicate Observations Analytics — 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 2026-10-14).
Analyzes supplied duplicate-observation records (duplicate_rows, total_rows) to produce numeric row ordering and IQR-based outlier flag reports, up to 200 rows, with two independent analytical reports per call.
Duplicate observations — Numeric row ordering + IQR outlier flags: Numeric row ordering + IQR outlier flags for supplied duplicate observations records (duplicate_rows, total_rows). 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.
Returns two independent analytical reports per call: (1) numeric row ordering of the submitted records ranked by the selected field (duplicate_rows or total_rows), and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. No external data is fetched; all analysis is performed locally on the supplied data.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-119?utm_source=zero.xyzChoose this endpoint when you have structured duplicate-observation records with row-level duplicate_rows and total_rows counts and need both ranked ordering and IQR-based outlier detection in a single call. It is ideal for lightweight, local data quality audits of up to 200 rows where no external data access, prediction, or live lookup is required. At $0.01 USDC for two reports, it is cost-effective for batch data quality checks on ETL outputs, dataset merges, or periodic data audits.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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