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Supplier Qualification — Numeric Row Ordering + Two-Measure Correlation
x402
Supplier Qualification — Numeric Row Ordering + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Ranks supplier qualification rows by a chosen numeric field and computes Pearson correlation between checked_criteria and met_criteria for up to 200 supplied records, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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
The endpoint returns two independent analytical reports: (1) the supplier qualification rows ordered numerically by the chosen field (checked_criteria or met_criteria), and (2) a Pearson correlation result between the checked_criteria and met_criteria columns across all supplied rows. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Vendor compliance review ranking
“I've got 50 supplier qualification records across 8 company groups, each with a date, checked_criteria count, and met_criteria count. Please rank them numerically by met_criteria and show me the correlation between checked_criteria and met_criteria so I can see which vendors are most compliant.”
Procurement audit correlation check
“For our quarterly procurement audit, I need to know whether the number of criteria we check actually predicts how many get met. I have 120 supplier rows with row IDs, company groups, dates, and both criteria values — can you sort by checked_criteria and run the correlation analysis?”
Supplier scorecard for two groups
“We're comparing group-a and group-b suppliers. I have 30 qualification records with checked_criteria and met_criteria numbers. Can you rank all rows by met_criteria and tell me how strongly those two measures correlate across the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 supplier qualification records with numeric checked_criteria and met_criteria fields and need both a sorted ranking and a correlation analysis in a single low-cost call. It is ideal for lightweight procurement analytics, vendor compliance reviews, or audit prep where no live data lookup, prediction, or external assessment is needed — just local statistical computation on your supplied dataset.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not one of 'checked_criteria' or 'met_criteria' — rejected
- All met_criteria or checked_criteria values are null — correlation cannot be computed
- Payment of 0.01 USDC not included or failed — 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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