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Release Note Coverage — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Release Note Coverage — Trailing Mean Series + 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 2026-10-23).
Computes a trailing mean time series and a secondary-measure weighted mean for release note coverage data (documented_changes, released_changes) over up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Release note coverage — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + 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
Two analytical reports: (1) a trailing mean time series over the specified window for the chosen primary field (documented_changes or released_changes), and (2) a secondary-measure weighted mean computed across the supplied rows. Results are based purely on the submitted data with no external lookups.
Example use cases
Sprint release documentation coverage trend
“I have weekly release note records for the last 3 months — each row has a date, a product group, the number of changes released, and how many were documented. Can you compute a trailing mean series with a window of 4 on documented_changes, plus the secondary weighted mean, so I can see if our documentation coverage is improving?”
Multi-team changelog audit summary
“We track documented_changes and released_changes across two teams (group-alpha and group-beta) for the past 50 sprints. Run the trailing mean series using a window of 5 on released_changes, along with the weighted mean report, so I can compare coverage quality across teams.”
Release note quality dashboard data
“For our monthly exec dashboard I need a smoothed view of our release note completeness. Here are 12 months of records with documented_changes and released_changes per release group — please run a trailing mean with window 3 on documented_changes and generate the secondary-measure weighted mean report too.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-15-151?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have release note coverage records with both documented_changes and released_changes fields and need both a rolling/trailing mean time series and a secondary-measure weighted mean in a single API call. It is well-suited for documentation quality analytics, sprint retrospectives, or dashboard pipelines processing up to 200 rows at a time without needing external data enrichment.
Side effects
- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — request rejected
- Window size larger than number of rows — trailing mean may produce incomplete or null series entries
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in documented_changes or released_changes may affect weighted mean calculation
- Invalid field enum value — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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