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Supplier Qualification Two-Measure Correlation with Missing-Value Fill
x402
Supplier Qualification Two-Measure Correlation with Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes correlation between checked_criteria and met_criteria for supplier qualification records and fills missing values using a chosen method (zero, mean, or median)
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 independent analytical reports: (1) a correlation report showing the statistical relationship between checked_criteria and met_criteria across the supplied rows, and (2) a missing-value fill report showing how null values in the specified field were replaced using the chosen method (zero, mean, or median). Both reports are computed locally on up to 200 supplied rows with no external lookups.
Example use cases
Supplier compliance correlation audit
“I have 150 rows of supplier qualification records with checked_criteria and met_criteria columns, some values are missing — please fill those gaps using the mean and then compute the correlation between the two measures.”
Procurement group comparison analysis
“Can you analyze my supplier qualification dataset across group-a and group-b, fill any nulls in checked_criteria with zero, and tell me how strongly met_criteria correlates with checked_criteria?”
Monthly supplier data quality check
“I've got supplier qualification records from October 2026 — about 80 rows — with some missing met_criteria values. Fill the blanks using median and run a correlation report between checked_criteria and met_criteria so I can see how well suppliers are meeting their criteria.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular supplier qualification records (up to 200 rows) with checked_criteria and met_criteria numeric fields and need both a correlation analysis and missing-value imputation in a single paid call. It is ideal for lightweight batch statistical analysis without requiring an external analytics platform, and suits procurement or compliance workflows where you want to assess how strongly criteria-checking predicts criteria-meeting while also cleaning incomplete data.
Side effects
- Fewer than 1 row provided — validation error
- More than 200 rows submitted — exceeds limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, company_group, date) — schema error
- All values in a field are null — correlation computation may be undefined
- Numeric values outside allowed range (-1T to 1T) — validation rejection
- Invalid method enum value not in zero/mean/median — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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