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Supplier Qualification — Equal-Width Histogram + IQR Outlier Flags
x402
Supplier Qualification — Equal-Width Histogram + 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 2026-10-15).
Generates equal-width histogram distributions and IQR-based outlier flags for supplier qualification numeric fields (checked_criteria or met_criteria) across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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
Returns two analytical reports sharing local engines: (1) an equal-width histogram showing bin boundaries and row counts for the selected numeric field (checked_criteria or met_criteria), and (2) an IQR-based outlier flagging report identifying which rows fall outside the interquartile range bounds — covering up to 200 input rows per call.
Example use cases
Detecting outlier suppliers in qualification audit
“I have 80 supplier qualification records from last quarter with checked_criteria and met_criteria scores. Can you run an equal-width histogram with 8 bins and flag any IQR outliers on the met_criteria field so I can spot which suppliers are unusually far from the norm?”
Procurement team distribution review
“Our procurement team wants to see how evenly spread supplier qualification checks are across our vendor base. Please generate a histogram with 5 bins for the checked_criteria field across these 200 supplier rows and flag any outliers using IQR.”
Supplier scoring anomaly investigation
“I'm investigating anomalies in our supplier scoring data — here are 60 rows with row_id, company_group, date, checked_criteria, and met_criteria. Run an equal-width histogram with 6 bins and IQR outlier detection on the met_criteria field and tell me which records look suspicious.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-170?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have supplier qualification records with numeric checked_criteria or met_criteria fields and need both a histogram distribution view and IQR outlier detection in a single low-cost call. Ideal for offline batch analytics on up to 200 rows where no live data lookup or external enrichment is needed. Prefer over general-purpose analytics tools when working within a procurement or supplier management context and cost per call matters at $0.01 USDC.
Side effects
- Input rows array is empty or missing required fields (row_id, date, checked_criteria, met_criteria) — validation error
- More than 200 rows supplied — exceeds maximum row limit
- bins parameter outside allowed range of 1–30 — rejected
- date field does not match YYYY-MM-DD pattern — schema validation failure
- All numeric values are null — cannot compute histogram or IQR
- Payment not completed — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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