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Supplier Qualification — Numeric Distribution + Explicit Missing-Value Fill
x402
Supplier Qualification — Numeric Distribution + Explicit 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 2026-10-15).
Computes numeric distribution statistics and fills missing values (zero/mean/median) for supplier qualification fields (checked_criteria, met_criteria) across up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Numeric distribution + Explicit missing-value fill: Numeric distribution + 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 analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, std dev, percentiles) for the selected field (checked_criteria or met_criteria), and (2) a version of the dataset with missing values explicitly filled using the chosen method (zero, mean, or median) — covering up to 200 supplier qualification rows.
Example use cases
Supplier audit data cleanup before reporting
“I'm preparing a supplier audit report and have about 80 rows of qualification data with some missing met_criteria values. Can you fill those nulls using the mean and also give me the full numeric distribution of met_criteria so I can see the spread?”
Vendor scoring analysis by company group
“I have 120 supplier qualification records across multiple company groups with checked_criteria and met_criteria scores — some are null. Can you compute the distribution of checked_criteria and fill missing values with zero so I can compare vendors fairly?”
Procurement data QA before pipeline ingestion
“Before I load this supplier dataset into our pipeline, can you run a numeric distribution analysis on the met_criteria field and replace any missing values using the median? I have about 60 rows with row IDs, dates, and company groups already filled in.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-085?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local statistical analysis of supplier qualification numeric fields — specifically distribution profiling and missing-value imputation — without needing live lookup, ML prediction, or external data enrichment. Ideal for pre-processing supplier data before ingestion into a pipeline, or for quick QA on small-to-medium datasets (up to 200 rows) at minimal cost ($0.01 USDC for 2 reports).
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Field value outside allowed numeric range (±1,000,000,000,000) — schema error
- Unknown fill method specified outside zero/mean/median enum — rejected
- Missing required fields (row_id, company_group, date) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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