# Texture Baking Record Quality Audit + Secondary-Measure Weighted Mean

> Texture Baking Record Quality Audit + 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 2026-10-17).

Runs a data quality audit and secondary-measure weighted mean analysis on texture baking records (bake_seconds, texture_pixels) for up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-016?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-record-quality-audit-secondary-measure-weighted-mean-040caa9f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_EVuV2crvvDQlEqPsBc7AR

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 texture-baking-record-quality-audit-secondary-measure-weighted-mean-040caa9f -d '<json body>'
```

Example prompt: Can you audit the data quality and compute a secondary-measure weighted mean for these texture baking records — I have about 50 rows with bake_seconds and texture_pixels fields, and I want the weighted mean calculated on bake_seconds?

## When to prefer this

Choose this endpoint when you have texture baking tabular records (up to 200 rows) and need both a data quality audit and a weighted mean computation in a single call for a flat $0.01 USDC fee. It is ideal for 3D asset pipeline QA workflows where you want to validate bake_seconds and texture_pixels data integrity without any external API calls or predictions. Prefer this over generic analytics services if your data is already structured per the schema and you need two bundled reports cheaply and quickly.

## Known failure modes

- Input array is empty or missing — minimum 1 row required
- More than 200 rows submitted — request will be rejected
- Invalid date format in a row — must match YYYY-MM-DD pattern
- Missing required fields (row_id, bake_seconds, texture_pixels) in one or more rows — audit may flag or reject
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Invalid field selector — must be either 'bake_seconds' or 'texture_pixels'
- Payment of 0.01 USDC not fulfilled — 402 response returned

## How this service works

Texture baking — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied texture baking records (bake_seconds, texture_pixels). 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 independent reports: (1) a record quality audit flagging missing values, anomalies, or integrity issues in the supplied texture baking rows, and (2) a secondary-measure weighted mean computed over the selected field (bake_seconds or texture_pixels) across up to 200 rows. No external lookups or predictions are made; all analysis runs locally on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-baking-record-quality-audit-secondary-measure-weighted-mean-040caa9f/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)