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Software Quality Numeric Distribution
x402
Software Quality Numeric Distribution 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 numeric distribution summary (describe/statistics) for software quality issue metrics — issues opened or closed — across up to 200 typed records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Software quality - Numeric distribution: Numeric distribution 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 numeric distribution deliverable.
Output
Returns a bounded numeric distribution deliverable containing descriptive statistics (such as min, max, mean, median, quartiles, standard deviation, and distribution shape indicators) for the selected numeric field (issues_opened or issues_closed) computed locally across the supplied records — no external enrichment applied.
Example use cases
Bug volume distribution per sprint
“I have daily issue counts for two components over the last 10 days — can you compute the numeric distribution for issues_closed so I can see how the bug closure rate is spread out across the sprint?”
Comparing opened issue spread across teams
“We track issues_opened daily per team component. Can you run a numeric distribution on this dataset of 50 records so I can see which teams have the most variance in how many bugs they open each day?”
Quality regression analysis for a release
“I want to understand if issue volume spiked before our last release — can you give me the numeric distribution for issues_opened across these 200 daily records so I can spot outliers or skew in the data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-describe?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local numeric distribution statistics for software issue tracking data (issues opened or closed) per component over time, with no need for external enrichment or forecasting. It is ideal for lightweight, low-cost ($0.01) statistical profiling of up to 200 records where the goal is understanding spread, central tendency, and shape of issue-count distributions.
Side effects
- Empty or missing rows array returns validation error
- Fewer than 1 or more than 200 rows triggers schema rejection
- Invalid date format (not YYYY-MM-DD) causes parse failure
- Null values in the selected numeric field may affect distribution completeness
- Invalid field enum value (anything other than 'issues_opened' or 'issues_closed') causes request rejection
- Missing required row fields (row_id, component, date) results in schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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