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Supplier Qualification Data Quality Suite (Record Audit + String Normalisation + Duplicate Key Report)
x402
Supplier Qualification Data Quality Suite (Record Audit + String Normalisation + 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 local analytical reports — record quality audit, string normalisation, and duplicate key detection — on up to 200 supplier qualification records containing checked_criteria and met_criteria fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + 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.
Output
Returns three independent reports: (1) a record quality audit identifying missing, null, out-of-range, or malformed values across all row fields; (2) a string normalisation report showing standardised versions of string fields like company_group; and (3) a duplicate key report flagging rows that share identical key combinations. All analysis is performed locally with no external lookups.
Example use cases
Pre-import supplier data validation
“Before I load these 150 supplier qualification rows into our procurement system, can you audit them for quality issues, normalise any inconsistent string fields, and flag any duplicate row_id or company_group/date combinations?”
Quarterly supplier data cleanup
“I've got our quarterly supplier qualification export — about 180 records with checked_criteria and met_criteria scores — can you run the three data quality reports to identify bad records, fix string formatting, and catch any duplicates?”
Detecting duplicate supplier entries across groups
“We merged two supplier lists and I suspect there are duplicate entries across company groups. Can you run the duplicate key report plus the full record quality audit on these 200 supplier qualification rows so we know what to clean up?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data quality operations — quality auditing, string normalisation, and duplicate detection — on supplier qualification data in a single low-cost call. Ideal for procurement teams cleaning supplier data before ingestion, deduplication pipelines, or periodic data governance checks. Prefer this over single-report endpoints when all three report types are needed at once to save cost and roundtrips.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Rows missing required fields (row_id, company_group, date, checked_criteria, met_criteria) fail schema validation
- Date values not matching YYYY-MM-DD pattern are rejected
- row_id values exceeding 80 characters are rejected
- Payment not included or insufficient USDC causes a 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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