# Build Artifacts Data Quality & Analytics Suite

> Build Artifacts Data Quality & Analytics Suite 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).

Runs three offline analytical reports on build artifact records: a record quality audit, string normalization, and a base-100 indexed series for artifact_mb or build_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-14-201?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-data-quality-analytics-suite-e4efbc62
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SuearjAqdvz_zdFA9XoYw

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-data-quality-analytics-suite-e4efbc62 -d '<json body>'
```

Example prompt: Can you audit the quality of these build artifact records, normalize the game_area strings, and give me a base-100 index series on artifact_mb starting from row 0? I have up to 50 rows with fields row_id, game_area, date, artifact_mb, and build_seconds.

## When to prefer this

Choose this endpoint when you need three bundled offline analytical reports — quality audit, string normalization, and base-100 indexing — on build artifact data (artifact_mb, build_seconds) in a single low-cost call. It is best for batch processing up to 200 rows of CI/CD or game build records without needing live lookups, predictions, or external data enrichment. Prefer this over general-purpose analytics when your data is already collected and you want a structured quality + normalization + indexing pass in one shot for $0.01.

## Known failure modes

- Fewer than 1 row submitted — returns validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range 0-199 — rejected with schema error
- field value not in enum ['artifact_mb','build_seconds'] — validation error
- Null numeric values may affect base-100 series calculation

## How this service works

Build artifacts — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 series for supplied build artifacts records (artifact_mb, build_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports generated locally without external lookups: (1) a record quality audit flagging missing, null, or malformed fields across the submitted rows; (2) a string normalization report cleaning and standardizing text fields like game_area; and (3) a base-100 indexed series for the selected numeric field (artifact_mb or build_seconds) relative to the row at base_index. All computed on the up-to-200 submitted rows.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/build-artifacts-data-quality-analytics-suite-e4efbc62/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)