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Supplier Qualification IQR Outlier Flags + Date by Category Pivot
x402
Supplier Qualification IQR Outlier Flags + Date by Category Pivot 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 local analytical reports on supplier qualification records: IQR-based outlier flagging and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot for supplied supplier qualification records (checked_criteria, met_criteria). 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 reports: (1) IQR outlier flags identifying which rows have checked_criteria or met_criteria values outside interquartile range bounds, and (2) a date-by-category pivot table summarizing the selected field values by date and company_group, all computed locally without external lookups.
Example use cases
Supplier compliance anomaly detection
“I have 120 rows of supplier qualification data with checked_criteria and met_criteria scores by company group and date — can you flag any IQR outliers in the met_criteria field and also give me a date-by-category pivot so I can see patterns over time?”
Procurement audit outlier review
“Run an IQR outlier analysis and a date-by-category pivot on this batch of supplier qualification records — there are about 80 rows covering several company groups, and I want to focus on the checked_criteria field to spot any unusual values before our audit.”
Vendor scoring trend and anomaly summary
“I need two quick reports on my supplier qualification dataset — IQR outlier flags and a date-by-category breakdown — using the met_criteria field. I have around 150 rows across groups like 'vendor-a' and 'vendor-b' with dates in 2025.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 supplier qualification records with checked_criteria and met_criteria fields and need both IQR-based outlier detection and a date-by-category pivot in a single low-cost ($0.01 USDC) call. Prefer this over general analytics services when data must be analyzed locally without external lookup or prediction, and when procurement or vendor qualification context is specifically relevant.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in the selected numeric field may affect IQR computation
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause request rejection
- Invalid field enum value (not 'checked_criteria' or 'met_criteria') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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