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Supplier Qualification Record Quality Audit + Keyed Dataset Comparison
x402
Supplier Qualification Record Quality Audit + Keyed Dataset Comparison 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 supplied supplier qualification records: a data quality audit and a keyed dataset comparison between two batches, covering checked_criteria and met_criteria fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 flagging issues such as nulls, format errors, and anomalies in the supplied rows, and (2) a keyed dataset comparison report showing row-level differences between the primary and secondary datasets based on shared row_id keys, covering checked_criteria and met_criteria values. No external lookups or predictions are made.
Example use cases
Procurement data quality check
“I have a batch of up to 200 supplier qualification records with fields like company_group, date, checked_criteria, and met_criteria. Can you audit the record quality and flag any missing values, nulls, or format issues across the dataset?”
Comparing two supplier qualification snapshots
“I've got two exports of our supplier qualification data from different periods — both have row_id, company_group, date, checked_criteria, and met_criteria columns. Can you run a keyed comparison between them and highlight which rows changed or are inconsistent?”
Validating criteria pass rates by group
“Run both the quality audit and dataset comparison on my supplier qualification records grouped by company_group. I want to see which groups have data issues and where the checked_criteria versus met_criteria numbers diverge between my two datasets.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, deterministic analytical reports on supplier qualification record quality and dataset comparisons without any live data lookup, external enrichment, or professional assessment. It is ideal for batch validation of procurement data quality and detecting discrepancies between two versions of a supplier dataset for up to 200 rows at low cost ($0.01 USDC for both reports).
Side effects
- Exceeding 200 rows in either dataset returns a validation error
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) causes rejection
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Empty rows array (minItems:1 violated) causes error
- Numeric values outside allowed range trigger schema errors
- Non-matching row_ids between datasets may yield empty comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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