# Test Coverage Analyzer — Exact Row Deduplication + Date by Category Pivot

> Test Coverage Analyzer — Exact Row Deduplication + 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 2026-10-26).

Performs exact row deduplication and a date-by-category pivot on supplied test coverage records (covered_lines, total_lines) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-10-052?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/test-coverage-analyzer-exact-row-deduplication-date-by-category-pivot-329a7709
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_p128uVKTpN5GkpJNByOt6

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 test-coverage-analyzer-exact-row-deduplication-date-by-category-pivot-329a7709 -d '<json body>'
```

Example prompt: I have up to 200 rows of test coverage data with fields row_id, component, date, covered_lines, and total_lines — can you run exact row deduplication and a date-by-category pivot on covered_lines so I can see which duplicates exist and how coverage breaks down by component over time?

## When to prefer this

Choose this endpoint when you have up to 200 test coverage records and need both exact duplicate row removal and a date-by-component pivot in a single low-cost call. It is purpose-built for software test coverage data (covered_lines, total_lines) and runs both reports together for $0.01 USDC, making it more efficient than general-purpose data tools when your dataset fits the schema and size limit.

## Known failure modes

- Input array has fewer than 1 row or more than 200 rows — request rejected
- Missing required fields (row_id, component, date, covered_lines, total_lines) in any row — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Numeric fields outside allowed range — validation error
- Invalid field enum value (not 'covered_lines' or 'total_lines') — schema rejection

## How this service works

Test coverage — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot for supplied test coverage records (covered_lines, total_lines). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two reports: (1) an exact row deduplication report identifying and removing fully duplicate entries from the supplied test coverage records, and (2) a date-by-category pivot table cross-tabulating the selected metric (covered_lines or total_lines) by date and component. Both reports are derived locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/test-coverage-analyzer-exact-row-deduplication-date-by-category-pivot-329a7709/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)