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Supplier Qualification Daily Sum Series and Two-Measure Correlation
x402
Supplier Qualification Daily Sum Series and 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).
Computes a daily sum time series and a two-measure correlation report for supplier qualification data (checked_criteria and met_criteria) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Supplier qualification — Daily sum series + Two-measure correlation: Daily sum 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 independent analytical reports: (1) a daily sum time series aggregating the selected measure (checked_criteria or met_criteria) by date, and (2) a two-measure correlation report quantifying the statistical relationship between checked_criteria and met_criteria across the supplied rows. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
Supplier compliance trend analysis
“I have 150 rows of supplier qualification data with daily checked_criteria and met_criteria counts across two vendor groups from October 2026. Can you compute the daily sum series and a correlation between those two measures to see if suppliers that get checked more also meet more criteria?”
Vendor group performance review
“Run a daily sum aggregation and a two-measure correlation on my supplier qualification dataset — it covers group-a and group-b suppliers over the past month, with checked_criteria and met_criteria columns, and I want to understand the trend and how those two numbers relate.”
Audit data statistical summary
“I need two statistical reports on my supplier audit rows: a daily total series for met_criteria and a correlation between checked_criteria and met_criteria. I have about 80 records spanning Q4 2026, each tagged with a row ID and company group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-02-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected supplier qualification row data (up to 200 records) and need both a daily aggregated time series and a correlation between two numeric criteria measures in a single low-cost call. It is ideal for offline or batch analytical tasks on supplier compliance datasets where no live lookup, prediction, or external enrichment is needed. Prefer alternatives if you need more than 200 rows, real-time data ingestion, or more than two reports per call.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted causes rejection due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) fails schema validation
- row_id missing or blank causes required-field validation failure
- Numeric values outside ±1,000,000,000,000 are rejected
- Non-numeric values in checked_criteria or met_criteria (other than null) cause type errors
- Invalid field enum value (not checked_criteria or met_criteria) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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