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Knowledge Base Maintenance — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Knowledge Base Maintenance — Two-Measure Correlation + Secondary-Measure Weighted Mean 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 Pearson/rank correlation between updated_articles and due_articles, plus a weighted mean of the secondary measure, across up to 200 knowledge base maintenance records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Knowledge base maintenance — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied knowledge base maintenance records (updated_articles, due_articles). 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 two-measure correlation coefficient quantifying the statistical relationship between updated_articles and due_articles across the submitted rows, and (2) a weighted mean of the selected secondary measure (updated_articles or due_articles). Results are computed locally from supplied data with no external lookups.
Example use cases
KB update-to-overdue relationship check
“I've got 50 rows of knowledge base maintenance data by document group and date — can you compute the correlation between updated_articles and due_articles and also give me the weighted mean of due_articles as a secondary measure?”
Documentation team performance audit
“Our documentation team tracks updated_articles and due_articles daily across two groups over the last quarter — run both the two-measure correlation and the weighted mean of updated_articles for me across these 120 records so I can see how update effort relates to backlog.”
Content ops statistical summary
“I need a quick statistical report on 80 knowledge base rows: what's the correlation between how many articles we updated versus how many were due, and what's the weighted mean of due_articles? Each row has a date, a document group, and counts for both measures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-16-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a correlation analysis between two knowledge-base maintenance metrics (updated_articles vs due_articles) AND a weighted mean of a secondary measure in a single $0.01 call covering up to 200 rows. It is ideal for documentation or content teams wanting quick offline statistical summaries without external data dependencies, live predictions, or professional assessments.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, document_group, date, updated_articles, due_articles) — validation error
- Invalid date format (must be YYYY-MM-DD) — pattern mismatch
- Numeric values outside allowed range (±1,000,000,000,000) — schema violation
- Invalid field enum value — must be 'updated_articles' or 'due_articles'
- Insufficient variance in data — correlation may return undefined or NaN
- Payment not included or insufficient — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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