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Supplier Qualification — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Supplier Qualification — Numeric Interval Filter + 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).
Filters supplier qualification records by a numeric interval on a chosen field and computes a weighted mean of a secondary measure, returning up to two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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 up to 2 independent analytical reports: one showing supplier qualification rows that pass the numeric interval filter on the selected field, and one showing the weighted mean of the secondary measure computed across those filtered rows, covering up to 200 input records.
Example use cases
Filtering compliant supplier subset
“I've got a batch of supplier qualification rows and I want to focus only on suppliers where checked_criteria falls between 10 and 100 — can you filter those records and give me the weighted mean of met_criteria across that range?”
Benchmarking mid-tier qualification scores
“For our procurement review, I need to isolate supplier qualification records where met_criteria is between 20 and 80, and then compute the weighted mean of checked_criteria for that filtered group — can you run that analysis on my 200 supplier rows?”
Vendor compliance band analysis
“We have supplier data by company_group and date — please filter it to rows where checked_criteria is at least 0 and at most 500, then generate the weighted mean report on met_criteria so we can see how well vendors in that band are performing.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected supplier qualification data (up to 200 rows) and need to (1) isolate records within a specific numeric range on either checked_criteria or met_criteria, and (2) compute a weighted mean of the complementary measure — all in a single low-cost call. It is ideal for offline batch analysis of procurement or vendor compliance data without needing live lookups or external data enrichment.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 bounds are rejected
- Setting minimum greater than maximum produces empty filter results
- Null values in both numeric fields may yield undefined weighted mean
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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