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Vendor Evaluation — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Vendor Evaluation — Record Quality Audit + 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 2026-10-15).
Audits data quality of vendor evaluation records and computes a secondary-measure weighted mean for supplied_score and maximum_score fields, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Vendor evaluation — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied vendor evaluation records (supplied_score, maximum_score). 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 record quality audit identifying missing, null, or anomalous values in the vendor evaluation records, and (2) a secondary-measure weighted mean calculated from the supplied_score and maximum_score fields across the submitted rows. Both reports are computed locally without external lookups.
Example use cases
Procurement scoring data quality check
“I have 120 vendor evaluation records with supplied_score and maximum_score columns — can you audit them for quality issues and give me a weighted mean summary so I can see how reliable the data is before I present it to the procurement team?”
Supplier performance weighted average report
“Run a weighted mean calculation on these vendor scores grouped by company_group — I've got about 80 rows with dates ranging from January to March, and I want to know which supplier groups are performing best relative to their maximum possible score.”
Pre-reporting vendor data validation
“Before I finalize the quarterly vendor report, can you check these 150 evaluation records for data quality problems and compute a secondary-measure weighted mean so I can flag any anomalies to my manager?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-10-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean computation on vendor evaluation records in a single $0.01 call, without requiring any external data lookup or live API access. It is ideal for batch preprocessing of up to 200 vendor scoring rows before reporting or analysis pipelines. Prefer this over generic stats tools when your data is structured around supplied_score and maximum_score fields with row-level company and date groupings.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in both supplied_score and maximum_score may produce undefined weighted mean
- Missing required fields (row_id, company_group, date) cause row-level rejection
- Invalid field enum value (not supplied_score or maximum_score) causes parameter error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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