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Supplier Qualification Data Quality Suite — Record Audit, String Normalisation & Equal-Width Histogram
x402
Supplier Qualification Data Quality Suite — Record Audit, String Normalisation & Equal-Width Histogram 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 records: a record quality audit, string normalisation check, and equal-width histogram for checked_criteria or met_criteria fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram 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 analytical reports for the supplied rows: (1) a record quality audit flagging completeness and validity issues per row, (2) a string normalisation report identifying inconsistencies in text fields such as company_group, and (3) an equal-width histogram of the selected numeric field (checked_criteria or met_criteria) divided into the specified number of bins (1–30, default 5). All analysis is performed locally on the submitted data with no external lookups.
Example use cases
Procurement team supplier data quality check
“I need to audit the quality of our supplier qualification records before we import them into the system — can you run a record quality audit and string normalisation report on these 120 supplier rows? The key columns are checked_criteria and met_criteria.”
Distribution analysis of qualification pass rates
“Can you build a 8-bin equal-width histogram on the met_criteria values from our supplier qualification records? I want to see how pass counts are distributed across our 80 supplier rows grouped by company_group.”
Pre-onboarding supplier data profiling
“Before we onboard these new suppliers, can you run all three data quality reports — quality audit, string normalisation, and a histogram with 5 bins on checked_criteria — against this batch of 150 supplier qualification records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-202?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 supplier qualification rows and need three bundled local data quality reports (record audit, string normalisation, histogram) in a single low-cost call ($0.01 USDC). It is ideal for pre-import profiling, procurement data validation, or distribution analysis of qualification criteria — where no live external lookup, prediction, or professional assessment is needed and all analysis is self-contained on your submitted data.
Side effects
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- bins parameter outside 1–30 range causes rejection
- field value not one of 'checked_criteria' or 'met_criteria' causes schema error
- All values null in selected field renders histogram meaningless
- Missing required row fields (row_id, date, etc.) cause record-level audit failures
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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