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Vendor Evaluation — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Vendor Evaluation — IQR Outlier Flags + Secondary-Measure Weighted Mean 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).
Runs two statistical reports on vendor evaluation records: IQR-based outlier detection and secondary-measure weighted mean calculation, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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.
Output
Two statistical reports delivered together: (1) IQR outlier flags indicating which rows fall outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed using the supplied_score and maximum_score fields. Both reports are based purely on the supplied data with no external lookups.
Example use cases
Flagging outlier vendor bids
“I have 80 vendor bid evaluations with supplied_score and maximum_score for each, grouped by supplier company. Can you flag which ones are IQR outliers and also give me the weighted mean for the supplied_score field?”
Quarterly vendor scorecard analysis
“Here are our Q3 vendor performance records — about 120 rows with scores and max possible scores per company group. Run the IQR outlier flags and secondary-measure weighted mean analysis on the supplied_score column so I can see who's underperforming.”
Procurement audit across company groups
“I'm auditing procurement vendors across group-a and group-b — I've got 40 rows of evaluation data with dates, supplied scores, and maximum scores. Can you give me the IQR outlier report and the weighted mean in one go?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR outlier detection and a weighted mean computed together on vendor evaluation data in a single call, without requiring any external data sources or live predictions. Ideal for offline batch scoring of up to 200 vendor records where you have supplied_score and maximum_score available and want statistical flagging plus a weighted summary in one low-cost operation.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, supplied_score, maximum_score) in any row
- Date field does not match YYYY-MM-DD pattern — validation error
- Null values in score fields may affect IQR and weighted mean calculations
- Invalid field enum value (must be 'supplied_score' or 'maximum_score')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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