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Supplier Qualification — Base-100 Series + Two-Measure Correlation
x402
Supplier Qualification — Base-100 Series + 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 2026-10-23).
Generates a Base-100 index series and a two-measure correlation report for supplier qualification data (checked_criteria, met_criteria) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Base-100 series + Two-measure correlation: Base-100 series + 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) a Base-100 indexed series for the chosen field (checked_criteria or met_criteria) relative to the specified base row index, and (2) a Pearson or equivalent correlation coefficient report between checked_criteria and met_criteria, computed locally across up to 200 supplied rows. No external lookups or live data are used.
Example use cases
Supplier compliance trend indexing
“I have monthly supplier audit results for two vendor groups — Alpha and Beta — spanning 6 months, with columns for how many criteria were checked and how many were met. Can you index the checked_criteria values to a Base-100 series starting from the first row, and also show me the correlation between checked and met criteria across all rows?”
Procurement pass-rate correlation check
“We're reviewing our Q3 supplier qualification records — 50 rows with company group, date, checked_criteria, and met_criteria. Can you compute a Base-100 index on met_criteria starting from row 0, and also run a two-measure correlation to see how closely checked and met criteria track each other?”
Multi-group supplier performance analysis
“I've got qualification data for three supplier groups across 120 records, each with a date, checked_criteria count, and met_criteria count. Please generate a Base-100 indexed series for checked_criteria (base at index 0) and calculate the correlation between checked_criteria and met_criteria so I can see which groups are consistent.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular supplier qualification data with checked and met criteria counts and need both a time-indexed (Base-100) trend series and a correlation analysis between the two measures in a single low-cost call. It is ideal for offline/batch analytical reporting on pre-collected data without needing live data enrichment, external lookups, or AI-generated assessments.
Side effects
- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows submitted — rejected by maxItems constraint
- base_index out of range (>= number of rows) — index error
- Non-date-formatted string in date field — schema validation failure
- null values in both numeric fields may reduce correlation reliability
- Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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