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Supplier Qualification — Record Quality Audit + Date by Category Pivot
x402
Supplier Qualification — Record Quality Audit + Date by Category Pivot 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).
Runs two local analytical reports on supplied supplier qualification records: a record quality audit and a date-by-category pivot for checked_criteria or met_criteria fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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
Two analytical reports based on the supplied data: (1) a record quality audit flagging data completeness, nulls, and anomalies in the qualification records; (2) a pivot table showing the selected numeric field (checked_criteria or met_criteria) broken down by date and company_group category. Results are computed locally with no external lookups, covering up to 200 rows.
Example use cases
Supplier compliance data quality check
“I have 80 rows of supplier qualification records with fields like row_id, company_group, date, checked_criteria, and met_criteria — can you run a quality audit on them to find any data issues like nulls or anomalies, and also pivot the met_criteria by date and category?”
Procurement team category pivot report
“Our procurement team needs a pivot table of checked_criteria broken down by date and company group from our 150-row vendor qualification dataset — can you run that analysis along with a record quality audit so we know how clean the data is?”
Vendor onboarding criteria review
“We're onboarding new vendors and I want to review how consistently they're meeting qualification criteria — please audit the data quality and generate a date-by-category breakdown of met_criteria across these 30 supplier records I'm providing.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have supplier qualification records with checked_criteria and met_criteria numeric fields and need both a data quality audit and a date-by-category pivot in a single low-cost call. It is ideal for procurement analysts who want to validate data completeness and summarize performance across vendor groups over time without any external data lookups or live predictions. At $0.01 USDC for two reports on up to 200 rows, it is highly cost-effective for batch offline analysis of qualification data.
Side effects
- Fewer than 1 or more than 200 rows submitted — returns validation error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) on any row — returns schema validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Invalid field selector (not 'checked_criteria' or 'met_criteria') — enum validation error
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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