# Build Artifacts Analytics — Adjacent Row Changes + Secondary-Measure Weighted Mean

> Build Artifacts Analytics — Adjacent Row Changes + Secondary-Measure Weighted Mean 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).

Computes adjacent row changes and secondary-measure weighted mean for build artifact records (artifact_mb, build_seconds) on up to 200 supplied rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-14-159?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/build-artifacts-analytics-adjacent-row-changes-secondary-measure-fcd6fde7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FLJ0AlGGPctPo4Cj6RxqG

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 build-artifacts-analytics-adjacent-row-changes-secondary-measure-fcd6fde7 -d '<json body>'
```

Example prompt: Can you analyze my build artifact records and give me both the adjacent row changes and the secondary-measure weighted mean for artifact_mb? Here are the rows: row-1 on 2026-10-01 in group-a with artifact_mb=10 and build_seconds=1, row-2 on 2026-10-02 in group-b with artifact_mb=20 and build_seconds=2, row-3 on 2026-10-03 in group-a with artifact_mb=15 and build_seconds=3.

## When to prefer this

Choose this endpoint when you have tabular build artifact data (up to 200 rows) and need both adjacent row delta analysis and a secondary-measure weighted mean computed together in a single cost-efficient call. Ideal for CI/CD pipelines, game build monitoring, or any scenario where you supply structured data locally and want statistical analysis without sending data to an external prediction or ML service.

## Known failure modes

- Input array is empty or missing — minimum 1 row required
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required row fields (row_id, game_area, date, artifact_mb, build_seconds)
- Null values in both numeric fields may affect weighted mean computation
- Payment not attached or insufficient — x402 payment of 0.01 USDC required

## How this service works

Build artifacts — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied build artifacts records (artifact_mb, build_seconds). 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

Two independent analytical reports: (1) adjacent row changes showing the difference in the selected field (artifact_mb or build_seconds) between consecutive rows, and (2) a secondary-measure weighted mean of the selected field weighted by the other measure, computed locally on the supplied data without any external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/build-artifacts-analytics-adjacent-row-changes-secondary-measure-fcd6fde7/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)