Data Reconciliation IQR Outlier Flags + Explicit Missing-Value Fill 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).
Detects IQR-based outliers and fills missing values in source/target reconciliation data rows using local analytical engines, returning two reports for up to 200 rows.
Data reconciliation — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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.
Two analytical reports covering: (1) IQR-based outlier flags identifying which rows have source_total or target_total values outside the interquartile range, and (2) a filled dataset where missing values in the specified field have been replaced using the chosen method (zero, mean, or median). All analysis is performed locally with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-11-180?utm_source=zero.xyzChoose this endpoint when you need both IQR outlier detection and missing-value imputation on reconciliation data (source_total vs target_total pairs) in a single call returning two reports. Ideal for data quality checks on ETL pipelines, financial close processes, or audit workflows with up to 200 rows. Prefer this over separate outlier or imputation tools when both reports are needed together at low cost ($0.01 USDC). Not suitable for prediction, live data lookup, or datasets exceeding 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
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