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Supplier Qualification IQR Outlier Flags and Keyed Dataset Comparison
x402
Supplier Qualification IQR Outlier Flags and Keyed Dataset Comparison 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 IQR outlier detection and keyed dataset comparison on up to 200 supplier qualification records (checked_criteria, met_criteria), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — IQR outlier flags + Keyed dataset comparison: IQR outlier flags + Keyed dataset comparison 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 analytical reports: (1) IQR outlier flags identifying which rows have checked_criteria or met_criteria values outside the interquartile range bounds, and (2) a keyed dataset comparison showing row-by-row differences between the primary and reference datasets, keyed on row_id.
Example use cases
Flagging anomalous supplier qualification rates
“I have a batch of 150 supplier qualification records with checked_criteria and met_criteria — can you run IQR outlier detection on the met_criteria field and flag any rows that look statistically unusual?”
Comparing this quarter vs last quarter supplier data
“Compare my Q3 and Q4 supplier qualification datasets — I'll give you both as separate row arrays keyed by row_id, and I want to see where the checked_criteria values diverge significantly between the two periods.”
Auditing a vendor group for qualification consistency
“I need to audit supplier qualification records for group-a and group-b — run both the IQR outlier flags and the keyed dataset comparison on these two datasets of up to 200 rows each to spot any inconsistencies in their checked_criteria scores.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-179?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based statistical outlier detection AND a keyed row comparison on supplier qualification data (checked_criteria, met_criteria) in a single $0.01 call covering up to 200 rows. It is ideal for procurement teams doing batch qualification audits or comparing supplier datasets across time periods without needing live lookups or predictive models.
Side effects
- Fewer than 1 row supplied — minItems validation error
- More than 200 rows supplied — maxItems exceeded error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) on any row — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- field enum value not 'checked_criteria' or 'met_criteria' — validation error
- Payment not completed via x402 — request rejected
- Insufficient data variance for IQR computation (all identical values) — may produce degenerate outlier output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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