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Software Quality Date-by-Category Pivot
x402
Software Quality Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Pivots software quality issue data (opened/closed) by date and component category, returning a structured summary table for up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Software quality - Date by category pivot: Date by category pivot 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 date by category pivot deliverable.
Output
Returns a pivot table where rows represent dates and columns represent software component categories, with cell values showing the aggregated count of the selected field (issues_opened or issues_closed) for each date-component combination, derived from up to 200 input records using local numeric processing.
Example use cases
Daily bug triage dashboard by team
“I have daily issue logs for our backend and frontend components from last week — can you pivot the issues_opened counts by date and component so I can see which team had the most new bugs each day? Here are the rows: row-1: 2026-10-01, backend, 12 opened, 5 closed; row-2: 2026-10-01, frontend, 8 opened, 3 closed; row-3: 2026-10-02, backend, 15 opened, 7 closed; row-4: 2026-10-02, frontend, 4 opened, 2 closed.”
Sprint closure rate analysis
“Can you create a pivot of issues_closed by date and component for our sprint data? Rows: row-1: 2026-11-01, auth-service, 5 closed, 10 opened; row-2: 2026-11-02, payment-service, 8 closed, 6 opened; row-3: 2026-11-03, auth-service, 3 closed, 4 opened; row-4: 2026-11-04, payment-service, 12 closed, 9 opened. I want to see which component is closing more issues each day.”
Multi-component quality trend report
“Please pivot my software quality tracking data on issues_opened, grouped by date and component. I've got 6 records: row-1: 2026-09-01, core-engine, 20 opened, 10 closed; row-2: 2026-09-01, ui-layer, 5 opened, 2 closed; row-3: 2026-09-02, core-engine, 18 opened, 8 closed; row-4: 2026-09-02, ui-layer, 11 opened, 6 closed; row-5: 2026-09-03, core-engine, 9 opened, 15 closed; row-6: 2026-09-03, ui-layer, 3 opened, 4 closed.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a local, low-latency pivot of software quality issue data (opened or closed counts) across dates and component categories, without any external enrichment or forecasting. It is ideal for structured reporting tasks on small-to-medium datasets (up to 200 rows) where you want a clean date-by-component matrix. Prefer it over general analytics platforms when cost per call matters ($0.01 USDC) and no PII or external data sources are involved.
Side effects
- Empty or missing rows array returns an error
- Row missing required fields (row_id, component, date, issues_opened, issues_closed) causes validation failure
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid field enum value (anything other than issues_opened or issues_closed) causes a schema error
- Numeric values outside ±1,000,000,000,000 bounds are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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