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Knowledge Base Maintenance Analytics — Numeric Distribution + Daily Sum Series
x402
Knowledge Base Maintenance Analytics — Numeric Distribution + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Computes numeric distribution statistics and a daily sum time series for knowledge base maintenance metrics (updated_articles, due_articles) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Knowledge base maintenance — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 independent analytical reports for the selected numeric field (updated_articles or due_articles): (1) a numeric distribution report showing statistical spread, frequency buckets, min/max/mean/percentile data, and (2) a daily sum series showing aggregated totals by date. Both reports are computed locally from the supplied row data with no external lookups.
Example use cases
Daily KB update trend for content team
“I have a month of knowledge base maintenance records — each row has a date, document group, how many articles were updated, and how many are due. Can you give me the daily sum series and numeric distribution for updated_articles so I can see which days had the most activity?”
Due articles distribution audit
“Run a numeric distribution and daily sum series on my due_articles data from the past quarter — I have about 150 rows with row IDs, dates, and document groups. I want to understand how overdue work is spread across the dataset.”
Multi-group KB maintenance summary
“I'm tracking article updates across two document groups over the last two weeks. Can you analyze my updated_articles field and produce both a distribution breakdown and a daily sum series from my 40-row maintenance log?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-16-075?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous statistical reports — a numeric distribution and a daily sum time series — on knowledge base maintenance metrics (article updates or due counts) from your own supplied data. It is ideal when you have up to 200 rows of KB maintenance records and want cost-efficient batch analytics ($0.01 for both reports) without any external API calls, live lookups, or predictions. Prefer this over single-report endpoints when you need both distribution and time series views in one call.
Side effects
- Missing required fields (row_id, document_group, date, updated_articles, due_articles) cause validation errors
- Date format not matching YYYY-MM-DD pattern results in schema rejection
- Exceeding 200 rows returns an error due to maxItems constraint
- Null numeric values in the selected field may affect distribution calculations
- Invalid field enum value (anything other than 'updated_articles' or 'due_articles') causes rejection
- Empty rows array (minItems: 1 not met) returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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