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Vendor Evaluation — Grouped Numeric Summary + IQR Outlier Flags
x402
Vendor Evaluation — Grouped Numeric Summary + 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).
Computes grouped descriptive statistics and IQR-based outlier flags for vendor evaluation score records (supplied_score or maximum_score), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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.
Output
Returns two analytical reports: (1) a grouped numeric summary with descriptive statistics (e.g. count, mean, median, min, max, std) broken down by company_group for the selected field, and (2) IQR-based outlier flags identifying which individual rows fall outside the interquartile range fence. No external data is fetched; all analysis is performed on the supplied rows.
Example use cases
Procurement outlier detection across suppliers
“I have 120 vendor evaluation rows with supplied_score and maximum_score, grouped by supplier company — can you compute the grouped summary stats and flag any IQR outliers in the supplied_score field so I can spot which vendors are anomalous?”
Quarterly vendor scorecard analysis
“Here are our Q3 vendor evaluation records for 80 rows across three company groups. Can you summarize the maximum_score by group and flag any outlier entries using IQR so we know which scores fall outside the normal range?”
Audit vendor scoring consistency by region
“I need to check whether any vendor scores look unusual across our regional groups — I've got 150 rows with row_id, company_group, date, supplied_score and maximum_score. Can you do a grouped numeric summary and IQR outlier check on the supplied_score?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular vendor evaluation data with group labels and want both descriptive group-level statistics and IQR-based outlier detection in a single call without needing external lookups or predictions. Ideal for procurement or supplier analytics workflows processing up to 200 rows offline. Prefer this over general-purpose analytics if you want two pre-packaged reports (grouped summary + outlier flags) in one low-cost micro-payment call.
Side effects
- Fewer than 1 row supplied — request rejected by minItems constraint
- More than 200 rows supplied — request rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date, supplied_score, maximum_score) — validation error
- Null numeric values in the selected field may reduce group sample sizes or cause NaN in statistics
- Invalid field enum value (not 'supplied_score' or 'maximum_score') — schema error
- Payment not completed — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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