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Knowledge Base Maintenance — Record Quality Audit + Numeric Row Ordering
x402
Knowledge Base Maintenance — Record Quality Audit + Numeric Row Ordering 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).
Runs two analytical reports on knowledge base maintenance records: a data quality audit and a numeric row ordering report for up to 200 rows of updated_articles and due_articles data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Knowledge base maintenance — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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
Two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or formatting problems in the specified field across the supplied rows, and (2) a numeric row ordering report ranking rows by the selected field (updated_articles or due_articles). Both reports are generated locally from supplied data with no external lookups.
Example use cases
Audit KB article update records
“I have a set of knowledge base maintenance records with updated_articles and due_articles counts per document group across the last month — can you run a quality audit to flag any bad or missing values and give me a numeric ordering of the rows by updated_articles?”
Rank due articles across document groups
“I'm tracking due_articles across several document groups from 2026-10-01 to 2026-10-31 — can you order those rows numerically by due_articles and check the data quality at the same time? I have about 120 rows total.”
Validate content pipeline maintenance data
“Before I feed these KB maintenance records into our reporting dashboard, can you run a record quality audit and numeric row ordering on them using the due_articles field? I've got around 80 rows with row IDs, dates, and document group labels.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-16-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a numeric ordering report for knowledge base maintenance records in a single low-cost call. It is ideal for offline/batch validation of article tracking datasets (up to 200 rows) where no live lookup, prediction, or external data enrichment is needed. It is not appropriate for real-time monitoring, machine learning predictions, or datasets larger than 200 rows.
Side effects
- rows array is empty or missing — validation error
- row count exceeds 200 — request rejected
- date field does not match YYYY-MM-DD pattern — validation error
- field enum value not one of updated_articles or due_articles — rejected
- numeric values outside ±1,000,000,000,000 range — rejected
- missing required fields (row_id, document_group, date) in any row — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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