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Supplier Qualification — Adjacent Row Changes + Two-Measure Correlation
x402
Supplier Qualification — Adjacent Row Changes + 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 2026-10-15).
Computes adjacent row delta analysis and Pearson/rank correlation between checked_criteria and met_criteria for up to 200 supplier qualification records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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
Returns two analytical reports: (1) an adjacent row changes report showing delta values between consecutive rows for the selected field (checked_criteria or met_criteria), and (2) a two-measure correlation report quantifying the statistical relationship between checked_criteria and met_criteria across all supplied rows. Analysis covers up to 200 rows using local engines with no external data lookups.
Example use cases
Supplier audit trend detection
“I have 120 rows of supplier audit records from Q3, each with a date, company group, checked_criteria count, and met_criteria count. Can you compute the adjacent row changes for checked_criteria and also show me the correlation between checked_criteria and met_criteria across all rows?”
Vendor qualification drift monitoring
“We track supplier qualification weekly — I need to know if met_criteria is trending up or down row by row, and whether it's correlated with how many criteria we're checking. Can you run the adjacent-change and two-measure correlation reports on my 80-row dataset?”
Multi-group supplier comparison
“I've got supplier qualification records for three company groups over the last six months. Run the adjacent row changes on met_criteria and the correlation between checked_criteria and met_criteria so I can see which groups are improving and whether auditors are setting easier bars when they check more criteria.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular supplier qualification data with checked_criteria and met_criteria columns and need both a sequential row-delta analysis and a bivariate correlation report in a single API call at low cost. It is particularly suited for procurement analysts who want to detect drift in supplier pass rates and measure whether evaluation rigor (checked_criteria) correlates with outcomes (met_criteria) without sending data to external ML or prediction services.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — parse error
- Fewer than 2 rows provided — insufficient data for adjacent change or correlation computation
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Invalid field enum value (not checked_criteria or met_criteria) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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