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Supplier Qualification — Record Quality Audit + String Normalisation + Category Frequencies
x402
Supplier Qualification — Record Quality Audit + String Normalisation + Category Frequencies 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 on supplier qualification data: a record quality audit, string normalisation, and category frequency analysis for checked_criteria and met_criteria fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 out-of-range values; (2) normalised string representations of text fields such as company_group; (3) category frequency counts showing how often each distinct category value appears across the dataset. All reports are generated locally with no external lookups.
Example use cases
Procurement data quality check
“I've got 120 supplier qualification records with checked_criteria and met_criteria values across several company groups — can you audit them for quality issues, normalise the string fields, and tell me how often each company group shows up?”
Supplier onboarding data review
“Before we finalise onboarding these 80 new suppliers, can you run a record quality audit and category frequency report on the qualification rows so I can spot any bad data or lopsided group distributions?”
Monthly vendor criteria analysis
“I need a quick summary of our vendor qualification data for October 2026 — around 200 rows with company_group, checked_criteria, and met_criteria — can you audit data quality, normalise strings, and show me category frequencies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 supplier qualification records and need three lightweight, fast local analyses — quality auditing, string normalisation, and category frequency counts — in a single $0.01 call without requiring any external data lookup, prediction, or professional assessment.
Side effects
- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause row-level validation failures
- Dates not matching YYYY-MM-DD pattern are rejected
- checked_criteria or met_criteria values outside the allowed numeric range cause validation errors
- Empty rows array is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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