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Supplier Qualification — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Supplier Qualification — Record Quality Audit + String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three local analytical reports on supplier qualification data: a record quality audit, string normalisation, and a grouped numeric summary of checked/met criteria fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary 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
Three independent reports: (1) a record quality audit flagging missing, malformed, or anomalous values in the supplied rows; (2) a string normalisation report standardising text fields like company_group; (3) a grouped numeric summary aggregating the selected numeric field (checked_criteria or met_criteria) by company_group. No live lookups or external predictions are made — all analysis is local.
Example use cases
Supplier onboarding data quality check
“I've just collected qualification records for 80 new suppliers with their checked_criteria and met_criteria scores — can you run a quality audit and string normalisation pass on all of them and give me a grouped numeric summary by company_group?”
Procurement compliance summary by vendor group
“We have 120 supplier qualification rows from last quarter across four company groups. Can you group the checked_criteria numbers by company_group and give me a summary, plus flag any data quality issues in the records?”
Criteria pass-rate analysis across supplier segments
“I need to understand which company groups are meeting the most qualification criteria. Please run the grouped numeric summary and record quality audit on my 200 supplier rows using met_criteria as the analysis field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-194?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, string normalisation, and grouped numeric summary — on up to 200 supplier qualification records in a single $0.01 USDC call. It is ideal when you want to quickly assess data completeness, clean string fields, and obtain per-group statistics on qualification criteria without making any external API calls, predictions, or professional assessments. Prefer it over single-report endpoints when you need all three analyses simultaneously on the same dataset.
Side effects
- Exceeding 200 rows 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) triggers a schema error
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns a minItems validation error
- Invalid field enum value (not checked_criteria or met_criteria) is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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