Data Reconciliation: Category Frequencies + 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 data reconciliation rows (source_total vs target_total) to produce category frequency distributions and IQR-based outlier flags across dataset groups.
Data reconciliation — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags for supplied data reconciliation records (source_total, target_total). 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: (1) category frequency counts for the dataset_group field showing how often each group appears in the submitted rows, and (2) IQR-based outlier flags for each row on the selected field (source_total or target_total), identifying which rows fall outside the interquartile range bounds. All analysis is performed locally on the submitted data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-107?utm_source=zero.xyzChoose this endpoint when you need fast, local statistical analysis of reconciliation data — specifically IQR-based outlier detection and category frequency counting — on batches up to 200 rows without any external data lookups or live predictions. It is ideal for data quality pipelines, ETL validation, and audit workflows where you want to compare source vs target totals across named groups and flag statistical anomalies cheaply at $0.01 per call covering both reports simultaneously.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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