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Software Quality Numeric Interval Filter
x402
Software Quality Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Filters software quality issue records (opened/closed) to only those rows where a chosen numeric field falls within a specified min-max interval
Price / call$0.01
Success—
StatusUnknown
How this service works
Software quality - Numeric interval filter: Numeric interval filter 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 interval filter deliverable.
Output
A filtered subset of the submitted software quality rows where the chosen field (issues_opened or issues_closed) falls within the specified minimum and maximum numeric bounds. Each returned row retains all original fields: row_id, component, date, issues_opened, and issues_closed.
Example use cases
Isolate high-churn components by open issues
“I have daily software quality data for several components and I want to see only the rows where issues_opened is between 20 and 100 — can you filter it down to just those records?”
QA gate: flag dates with low closed-issue counts
“From my issue tracking data, filter to only the rows where issues_closed falls between 0 and 3 so I can identify days where my team wasn't closing enough bugs.”
Range-bound audit of resolved issues
“I need to pull only the software quality records where issues_closed is between 10 and 50 from my dataset of component-level daily logs — filter out everything outside that range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-range-filter?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to quickly filter a batch of software quality records (up to 200 rows) to only those where issue counts fall within a defined numeric range. It is ideal for QA dashboards, daily standup filters, or audit workflows where you want to isolate components or dates that exceed or fall below issue count thresholds. Prefer this over full analytics endpoints when you simply need a bounded subset, not aggregations or statistics.
Side effects
- Empty result set if no rows fall within the specified numeric interval
- Validation error if minimum exceeds maximum
- Schema error if required fields (row_id, date) are missing from input rows
- Error if date strings don't match YYYY-MM-DD format
- Rejection if more than 200 rows are submitted
- Null numeric values may cause rows to be excluded from filter results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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