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Supplier Qualification — Weighted Mean & Missing-Value Fill
x402
Supplier Qualification — Weighted Mean & 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 a secondary-measure weighted mean and fills missing values for supplier qualification records (checked_criteria, met_criteria) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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 2 analytical reports per call covering: (1) a secondary-measure weighted mean computed over the chosen field (checked_criteria or met_criteria) across up to 200 supplier qualification rows, and (2) an explicit missing-value-filled version of the dataset using the specified fill method (zero, mean, or median). Reports are derived from local analytical engines with no external lookups.
Example use cases
Supplier pass-rate scoring by group
“I have 80 supplier qualification rows with company_group, date, checked_criteria, and met_criteria — some met_criteria values are null. Can you compute a weighted mean of met_criteria using median to fill the missing values and give me 2 analytical reports broken down by company group?”
Procurement audit with zero-fill for missing checks
“We're auditing our vendor qualification process. I have 120 rows of qualification records with checked_criteria and met_criteria. Please fill any missing checked_criteria values with zero and compute the weighted mean across all company groups.”
Batch qualification analytics for multiple suppliers
“I need to analyze qualification rates across our supplier base — I've got 200 rows with row_id, company_group, date, checked_criteria, and met_criteria. Use mean imputation for missing values and return the secondary-measure weighted mean on met_criteria as two reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a cost-effective ($0.01 USDC for 2 reports) batch computation of weighted means and missing-value imputation on supplier qualification records (up to 200 rows) without needing live data lookups, ML predictions, or external integrations. Ideal for procurement analytics pipelines where checked_criteria and met_criteria fields need standardized aggregation and null handling before scoring or reporting.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- All values null in the target field may produce undefined weighted mean
- Field or method enum values outside allowed options ('checked_criteria'/'met_criteria'; 'zero'/'mean'/'median') cause rejection
- Payment not provided or insufficient — x402 payment required before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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