# Build Artifacts Data Quality & Distribution Analysis

> Build Artifacts Data Quality & Distribution Analysis is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Runs three independent analytical reports—record quality audit, string normalisation, and numeric distribution—on build artifact records containing artifact size and build duration fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-14-193?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/build-artifacts-data-quality-distribution-analysis-84387f35
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KtDwtzdfZqOWLuAVjz3Nl

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-distribution-analysis-84387f35 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric distribution analysis on my build artifact data — I have up to 50 rows with fields like row_id, game_area, date, artifact_mb, and build_seconds, and I want to analyse the artifact_mb field?

## When to prefer this

Choose this endpoint when you need three combined analytical passes—quality audit, string normalisation, and numeric distribution—on up to 200 build artifact records in a single low-cost call. It is ideal when your data is already local (no live lookup needed) and you want a quick, structured profile of CI/CD build data covering both categorical string fields and numeric build metrics at a flat cost of $0.01 USDC for all three reports.

## Known failure modes

- Fewer than 1 row or more than 200 rows supplied returns a validation error
- Missing required fields (row_id, game_area, date, artifact_mb, build_seconds) on any row causes rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Field enum value not one of artifact_mb or build_seconds causes a bad request error
- Numeric values outside the allowed range cause validation rejection

## How this service works

Build artifacts — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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: (1) a record quality audit flagging missing, malformed, or out-of-range values across all fields; (2) a string normalisation report identifying and standardising inconsistencies in string fields like game_area; and (3) a numeric distribution report summarising the spread, central tendency, and outliers for the selected numeric field (artifact_mb or build_seconds). All analysis is performed locally on the supplied data with no 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-data-quality-distribution-analysis-84387f35/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)