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Supplier Qualification — Record Quality Audit + String Normalisation + Numeric Interval Filter
x402
Supplier Qualification — Record Quality Audit + String Normalisation + Numeric Interval Filter 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 rows: a record quality audit, string normalisation, and a numeric interval filter on checked_criteria or met_criteria fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 analytical reports on the supplied rows: (1) a record quality audit flagging completeness and formatting issues per row, (2) a string normalisation report standardising company_group values, and (3) a numeric interval filter report listing which rows fall within the specified minimum–maximum range for the chosen field (checked_criteria or met_criteria). All processing is local with no external lookups.
Example use cases
Procurement data quality check
“I have 120 supplier qualification records with checked_criteria and met_criteria scores — can you audit them for record quality issues, normalise the company_group strings, and filter out any rows where checked_criteria falls outside 10 to 500?”
Supplier shortlist interval screening
“Run a numeric interval filter on the met_criteria field for my supplier qualification dataset — I only want rows where met_criteria is between 0 and 50 — and also give me the quality audit and string normalisation reports for the same batch of rows.”
Onboarding data validation for new vendors
“We just imported 75 new vendor qualification rows and I need three things: a record quality audit to catch missing or bad values, string normalisation on company_group, and a filter on checked_criteria between 1 and 200 — can you process all of that together?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical passes (quality audit, string normalisation, numeric interval filter) on up to 200 supplier qualification rows in a single $0.01 call, without requiring any external data lookups, live predictions, or professional assessments. It is ideal for batch pre-processing of supplier data pipelines before downstream scoring or decision-making.
Side effects
- More than 200 rows submitted — batch size limit exceeded
- Row missing required fields (row_id, company_group, date, checked_criteria, or met_criteria) — validation error
- Date field not matching YYYY-MM-DD pattern — schema rejection
- Minimum value greater than maximum value — invalid interval parameters
- Non-numeric value supplied for checked_criteria or met_criteria — type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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