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Software Quality Secondary-Measure Weighted Mean
x402
Software Quality 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 2026-10-14).
Computes a secondary-measure weighted mean for software quality issue metrics (opened/closed) across up to 200 dated component records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Software quality - Secondary-measure weighted mean: Secondary-measure weighted mean for Software quality. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded secondary-measure weighted mean deliverable.
Output
A single bounded secondary-measure weighted mean value computed locally from the submitted rows, reflecting the weighted average of the selected field (issues_opened or issues_closed) across all provided dated component records, with no external enrichment applied.
Example use cases
Sprint defect volume trend analysis
“I've got daily issue counts for two components over a two-week sprint — can you compute the weighted mean for issues_closed across all those rows so I can see which component is resolving defects most efficiently?”
Release quality gate scoring
“Before we cut the release, I need a secondary-measure weighted mean on issues_opened for our three main modules using this month's tracking data — can you run that calculation for me?”
Cross-team software quality benchmarking
“We have issue records from four different engineering teams tagged by component and date, and I want to compare them using a weighted mean on issues_opened — can you process these 50 rows and give me the result?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-weighted-average?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistically weighted mean of software issue metrics (opened or closed) across multiple dated component records with local computation only, no external data fetching, and a low fixed cost per call. Ideal for CI/CD pipelines, sprint analytics dashboards, or quality gate automation where deterministic, reproducible aggregation is required.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, component, date, issues_opened, issues_closed) cause validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) cause rejection
- All numeric values are null — may result in undefined or empty weighted mean output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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