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Document Section Coverage — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Document Section Coverage — Record Quality Audit + 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 2026-10-30).
Runs a record quality audit and a secondary-measure weighted mean analysis on document section coverage data (present_sections, required_sections) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document section coverage — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied document section coverage records (present_sections, required_sections). 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 supplied rows: (1) a record quality audit identifying data issues, nulls, or anomalies in the section coverage records, and (2) a secondary-measure weighted mean computation across the selected field (present_sections or required_sections), grouped as applicable. No external data is fetched; all analysis is performed locally on the submitted data.
Example use cases
Editorial team coverage gap audit
“I have 120 rows of document section data from our editorial system — each row has a document group, date, how many sections are present, and how many are required. Can you audit the record quality and compute a weighted mean for present_sections across all of them?”
Compliance doc completeness check
“We track required versus present sections for our compliance documents across three groups over the past quarter — about 80 rows total. Run a quality audit on the records and give me a weighted mean for required_sections so I can see where we're falling short.”
Publishing pipeline section monitoring
“Our publishing pipeline logs section coverage daily — I've got 200 rows with document group, date, present_sections, and required_sections. Can you do a quality audit on the data and compute a secondary-measure weighted mean using present_sections as the field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-01-016?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular document section coverage data (present vs. required sections) and need both a data quality audit and a weighted mean statistic in a single call for up to 200 rows. Prefer this over generic analytics tools when you want structured, reproducible dual-report output on section coverage records without any external lookups or side effects.
Side effects
- Empty or missing rows array returns a validation error
- More than 200 rows submitted triggers a row limit error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, present_sections, required_sections) causes row-level validation failure
- Invalid field enum value (not present_sections or required_sections) returns a parameter error
- All-null numeric values may produce degenerate or empty weighted mean output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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