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Release Note Coverage — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Release Note 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 2026-10-24).
Runs a record quality audit and secondary-measure weighted mean analysis on release note coverage data (documented_changes vs released_changes) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Release note coverage — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied release note coverage records (documented_changes, released_changes). 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 release note coverage rows: (1) a record quality audit identifying data issues, missing values, and anomalies in the dataset, and (2) a secondary-measure weighted mean calculation for the selected field (documented_changes or released_changes), potentially grouped by document_group or date. No external data is fetched; all analysis is performed locally on the supplied rows.
Example use cases
Release documentation gap audit
“I have a CSV of release note records with documented_changes and released_changes counts per date and team group — can you run a quality audit on them to find bad or missing records, and also compute the weighted mean for released_changes across all 80 rows?”
Sprint coverage completeness check
“We track how many changes get documented each sprint. Can you audit our 120 release note rows for record quality issues and give me a weighted mean summary on the documented_changes field, grouped by document_group?”
Multi-team release note benchmarking
“I've got release note coverage data for four product teams across Q3, about 150 rows total. Run both a quality audit and a secondary-measure weighted mean on the documented_changes field so I can compare team documentation thoroughness.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-15-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit the data quality of release note coverage records AND compute a weighted mean on one of the numeric coverage fields, all in a single $0.01 call. It is best suited for offline/batch analytical workloads on up to 200 pre-collected rows where no live data lookup or external prediction is needed. Prefer this over separate audit and statistics endpoints when you want two coordinated reports sharing the same analytical engine on the same dataset.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id, document_group, date) causes schema validation failure
- Null values in both documented_changes and released_changes may degrade weighted mean calculation
- Invalid field enum value (not 'documented_changes' or 'released_changes') returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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