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Supplier Qualification — Record Quality Audit + Adjacent Row Changes
x402
Supplier Qualification — Record Quality Audit + Adjacent Row Changes 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 supplier qualification rows: a record quality audit and adjacent row change detection for checked_criteria or met_criteria fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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 independent analytical reports: (1) a record quality audit covering completeness, validity, and consistency of the supplied qualification rows; (2) an adjacent row changes report showing delta values between consecutive rows for the selected field (checked_criteria or met_criteria). Results are computed locally with no external lookups. Up to 200 rows processed per call.
Example use cases
Supplier onboarding data quality check
“I have a batch of supplier qualification records from the last quarter with checked_criteria and met_criteria scores — can you run a quality audit on them and flag any rows that look incomplete or inconsistent?”
Detecting criteria drift between review cycles
“For these 80 supplier qualification rows grouped by company_group and sorted by date, can you run the adjacent row changes report on the met_criteria field so I can see how qualification scores shifted between consecutive review dates?”
Monthly procurement data validation
“We just exported 150 supplier qualification records from our procurement system — please audit the record quality and show me any adjacent row changes in checked_criteria so we can spot any sudden jumps before we finalize the report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-011?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline-style analytical reports on batches of supplier qualification records (up to 200 rows) without requiring external data enrichment, live lookups, or professional assessment. Ideal for procurement teams that want to validate data quality and spot row-to-row changes in checked_criteria or met_criteria before further processing. Prefer alternatives if you need real-time supplier data, predictive scoring, or more than 200 rows processed at once.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required row fields (row_id, company_group, date, checked_criteria, met_criteria) cause schema validation failure
- Invalid date format (non YYYY-MM-DD) triggers pattern validation error
- Null values in the selected numeric field may limit change-detection accuracy
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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