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Knowledge Base Maintenance — Daily Sum Series + Adjacent Row Changes
x402
Knowledge Base Maintenance — Daily Sum Series + Adjacent Row Changes 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 adjacent-row delta report for knowledge base maintenance metrics (updated_articles, due_articles) across up to 200 rows, returning two analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Knowledge base maintenance — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes 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 daily sum time series showing the total of the selected field (updated_articles or due_articles) aggregated by date, and (2) an adjacent row changes report showing the difference between consecutive rows for the selected field. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Track daily article update trends
“I have a week's worth of knowledge base records with dates, document groups, updated article counts, and due article counts. Can you give me a daily sum series and row-to-row change report for updated_articles so I can see how editing activity is trending each day?”
Monitor due article backlog changes
“Here are 50 rows of KB maintenance logs with row IDs, dates, document groups, and due_articles values. Run the daily sum series plus adjacent row changes on due_articles so I can see whether the review backlog is growing or shrinking day over day.”
Compare maintenance load across document groups
“I've got 120 knowledge base maintenance records split across several document groups, each with a date and updated_articles count. Can you compute the daily totals and the day-to-day deltas for updated_articles so I can compare workload patterns across those groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-16-137?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of knowledge base maintenance data and need both a daily aggregated time series and adjacent-row delta analysis in a single low-cost call ($0.01 USDC). It is ideal for offline or batch analytical workflows where no live data lookup, prediction, or external action is required — just fast, local computation on your supplied records.
Side effects
- Missing required fields (row_id, document_group, date, updated_articles, due_articles) cause validation failure
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the row limit and is rejected
- Null values in the selected metric field may produce null deltas in the adjacent row changes report
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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