Vendor Evaluation — 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 2026-10-23).
Analyzes vendor evaluation records to produce category frequency counts and IQR-based outlier flags for supplied_score or maximum_score fields across up to 200 rows.
Vendor evaluation — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags for supplied vendor evaluation records (supplied_score, maximum_score). 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 analytical reports: (1) a category frequency table showing how often each company_group appears in the dataset, and (2) IQR-based outlier flags identifying which rows have supplied_score or maximum_score values that fall outside the interquartile range bounds. Both reports are computed locally with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-107?utm_source=zero.xyzChoose this endpoint when you need both category frequency distribution and IQR-based statistical outlier detection on vendor evaluation records in a single call, without requiring external data lookups or live vendor information. It is ideal for preprocessing vendor datasets before procurement decisions or audits, especially when working with up to 200 rows of structured evaluation data.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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