Supplier Qualification — Record Quality Audit + Exact Row Deduplication + Duplicate Key Report 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 three analytical reports on supplier qualification data: a record quality audit, exact row deduplication, and a duplicate key report — all from user-supplied rows, no external lookups.
Supplier qualification — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report for supplied supplier qualification records (checked_criteria, met_criteria). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Three independent reports returned together: (1) a record quality audit flagging issues such as nulls, out-of-range values, and format violations in checked_criteria and met_criteria fields; (2) an exact row deduplication report identifying rows that are identical across all fields; and (3) a duplicate key report surfacing rows that share the same key fields (e.g. row_id, company_group, date) even if other values differ. No external data is fetched; all analysis is performed on the submitted rows only.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-209?utm_source=zero.xyzChoose this endpoint when you need three simultaneous data quality checks — quality audit, exact deduplication, and duplicate key detection — on a batch of up to 200 supplier qualification rows in a single API call. It is ideal for pre-ETL validation, data reconciliation after merges, or routine supplier data hygiene checks where no external lookup or predictive scoring is needed. Prefer this over building custom SQL or pandas scripts when you want a ready-made, low-cost ($0.01 USDC) bundled report on supplier qualification fields (checked_criteria, met_criteria, company_group, date).
| Field | Type | Description |
|---|---|---|
| rows | array |
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