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Supplier Qualification — String Normalisation + Two-Measure Correlation
x402
Supplier Qualification — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Normalises string fields and computes correlation between checked_criteria and met_criteria across up to 200 supplier qualification rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied supplier qualification records (checked_criteria, met_criteria). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports covering: (1) string normalisation results for the company_group and related text fields across the submitted rows, and (2) a correlation analysis between the checked_criteria and met_criteria numeric measures across all submitted rows — all computed locally with no external lookups or predictions.
Example use cases
Supplier pass rate correlation audit
“I have 50 supplier qualification records with company groups, dates, and two numeric fields — how many criteria were checked versus how many were actually met. Can you normalise the text fields and run a correlation report to see if there's a consistent relationship between checked_criteria and met_criteria across our supplier groups?”
Multi-group qualification comparison
“We track supplier qualification across three company groups over the last quarter — about 120 rows of data with checked_criteria and met_criteria numbers. Can you normalise the string fields and produce two analytical reports showing how those two measures relate to each other within and across the groups?”
Monthly supplier data quality check
“At the end of each month I get a CSV-style batch of up to 200 supplier qualification entries with row IDs, dates, company group names, and two numeric columns for checked versus met criteria. Please normalise the strings and run the two-measure correlation analysis so I can spot any groups where met_criteria is consistently lagging behind checked_criteria.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of supplier qualification records (up to 200 rows) and need both string normalisation and a two-measure correlation between checked and met criteria in a single low-cost call ($0.01 USDC). It is purely analytical with no external lookups, making it deterministic and fast. Prefer it over general-purpose analytics tools when the data fits the specific schema (row_id, company_group, date, checked_criteria, met_criteria) and you need two bundled reports from a single payment.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- row_id missing or empty — required field with minLength 1
- checked_criteria or met_criteria out of numeric bounds (±1,000,000,000,000)
- Malformed JSON body — schema validation failure
- Payment not included or insufficient — x402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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