# Build Artifacts String Normalisation + Explicit Missing-Value Fill

> Build Artifacts String Normalisation + Explicit 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 2026-10-29).

Normalises string fields and fills missing numeric values (artifact_mb or build_seconds) in up to 200 build artifact records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-14-037?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/build-artifacts-string-normalisation-explicit-missing-value-fill-bb5fc680
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VpQqjyl5tEMDgdyqq8r9i

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-string-normalisation-explicit-missing-value-fill-bb5fc680 -d '<json body>'
```

Example prompt: Clean my build artifact records by normalising the string fields and filling missing artifact_mb values using median imputation — here are 4 rows with game_area group-a and group-b, dates from 2026-10-01 to 2026-10-04, and some null artifact_mb entries.

## When to prefer this

Choose this endpoint when you need lightweight, local data-cleaning operations on build artifact records — specifically string normalisation combined with missing-value imputation for artifact_mb or build_seconds. It is ideal for pre-processing small-to-medium CI/CD datasets (up to 200 rows) before analytics, without any external data lookups or ML predictions. Prefer it over general-purpose data-cleaning pipelines when your domain is build artifacts with game_area groupings and you want deterministic, auditable imputation.

## Known failure modes

- More than 200 rows submitted — request rejected (maxItems constraint)
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, game_area, date, artifact_mb, build_seconds) — schema validation failure
- Numeric values outside allowed range — validation error
- Invalid enum value for field or method — rejection

## How this service works

Build artifacts — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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 analytical reports covering: (1) string-normalised version of the submitted build artifact records, and (2) explicit missing-value fill for the specified numeric field (artifact_mb or build_seconds) using the chosen method (zero, mean, or median). Reports are generated locally from the supplied data only — 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/build-artifacts-string-normalisation-explicit-missing-value-fill-bb5fc680/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)