# Test Coverage Keyed Dataset Comparison with Missing-Value Fill

> Test Coverage Keyed Dataset Comparison with Missing-Value Fill 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).

Compares two keyed test coverage datasets (covered_lines or total_lines) row-by-row and fills in explicit missing values, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-software-10-190?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-keyed-dataset-comparison-with-missing-value-fill-47ad2f40
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e6bNtgcwNwnQw3M9YV0UK

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-keyed-dataset-comparison-with-missing-value-fill-47ad2f40 -d '<json body>'
```

Example prompt: Compare these two test coverage datasets for covered_lines — the first has rows for group-a and group-b components dated 2026-10-01 through 2026-10-04, and the second is the same structure but with slightly different values — fill in any missing values and give me the keyed comparison report.

## When to prefer this

Use this endpoint when you need to programmatically compare two snapshots of test coverage data keyed by row_id and component, especially when handling missing values explicitly. It is best suited for lightweight, offline analytical comparison of up to 200 rows at low cost ($0.01 USDC for 2 reports), with no need for live data lookup, ML prediction, or external integrations.

## Known failure modes

- Missing required fields (row_id, component, date, covered_lines, total_lines) returns validation error
- Exceeding 200 rows returns a row limit error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Field enum value other than 'covered_lines' or 'total_lines' is rejected
- Empty rows array returns minItems validation error
- Mismatched row_id keys between primary and other dataset may produce empty comparison results

## How this service works

Test coverage — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill 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 analytical reports: a keyed dataset comparison showing row-by-row differences between the two input datasets on the selected field (covered_lines or total_lines), and an explicit missing-value fill report identifying and imputing null or absent values — all computed locally 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "component": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "total_lines": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "covered_lines": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "component": "group-a",
     "total_lines": 1,
     "covered_lines": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "component": "group-b",
     "total_lines": 2,
     "covered_lines": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "component": "group-a",
     "total_lines": 3,
     "covered_lines": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "component": "group-b",
     "total_lines": 4,
     "covered_lines": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "covered_lines",
    "total_lines"
   ],
   "type": "string",
   "default": "covered_lines"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "component",
     "date",
     "covered_lines",
     "total_lines"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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,
      "minimu
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/test-coverage-keyed-dataset-comparison-with-missing-value-fill-47ad2f40/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)