# Software Quality Date-by-Category Pivot

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-analytics-software-quality-pivot?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/software-quality-date-by-category-pivot-81c6de0c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wL9C7heZ75u-ZVF4uc6Yt

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability software-quality-date-by-category-pivot-81c6de0c -d '<json body>'
```

Example prompt: Can you pivot my software quality data by date and component? I have 4 rows — row-1: 2026-10-01, group-a, 10 opened, 1 closed; row-2: 2026-10-02, group-b, 20 opened, 2 closed; row-3: 2026-10-03, group-a, 15 opened, 3 closed; row-4: 2026-10-04, group-b, 30 opened, 4 closed — and I want the pivot to be on issues_opened.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "issues_opened",
     "issues_closed"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "component": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "issues_closed": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "issues_opened": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "component": "group-a",
     "issues_closed": 1,
     "issues_opened": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "component": "group-b",
     "issues_closed": 2,
     "issues_opened": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "component": "group-a",
     "issues_closed": 3,
     "issues_opened": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "component": "group-b",
     "issues_closed": 4,
     "issues_opened": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "issues_opened",
    "issues_closed"
   ],
   "type": "string",
   "default": "issues_opened"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/software-quality-date-by-category-pivot-81c6de0c/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)