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Supplier Qualification Record Quality Audit + Base-100 Series
x402
Supplier Qualification Record Quality Audit + Base-100 Series 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 analytical reports on supplier qualification records: a record quality audit and a Base-100 indexed series for checked_criteria or met_criteria values across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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 record quality audit summarizing completeness, anomalies, and validity issues across the supplied rows, and (2) a Base-100 indexed series for the selected field (checked_criteria or met_criteria), normalizing values relative to the specified base row. Both reports use local analytical engines with no external lookups or live data.
Example use cases
Benchmarking supplier pass rates over time
“I have 50 rows of supplier qualification records for three company groups across Q3 2026, each with checked_criteria and met_criteria counts. Can you run a Base-100 series on the met_criteria field starting from the first row so I can see how each group's pass rate has trended relative to that baseline?”
Auditing data quality before procurement review
“Before our quarterly procurement review, I need to check the quality of our supplier qualification records — here are 120 rows with row IDs, dates, company groups, and checked/met criteria values. Can you run both the record quality audit and the Base-100 series on checked_criteria starting at row 0?”
Comparing two supplier groups' qualification performance
“We have qualification records for two supplier groups, alpha and beta, from January through March 2025. Run a quality audit and Base-100 index on the met_criteria field so we can compare how consistently each group has been meeting qualification standards relative to our baseline row.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a dual-report analytical pass on supplier qualification records — specifically a data quality audit combined with a Base-100 normalized series — in a single $0.01 call. Ideal for procurement teams or agents validating and benchmarking supplier compliance data offline, without needing live data enrichment, predictions, or external integrations. Prefer it over generic analytics tools when your data is already structured with row_id, company_group, date, checked_criteria, and met_criteria fields.
Side effects
- Rows array is empty or missing — returns validation error
- More than 200 rows supplied — rejected with maxItems error
- base_index out of range (>199 or >= row count) — may return error or undefined base
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- checked_criteria or met_criteria values are null for all rows — audit may flag as low quality
- field enum value not matching 'checked_criteria' or 'met_criteria' — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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