# Texture Baking Analytics — Grouped Summary & Missing-Value Fill

> Texture Baking Analytics — Grouped Summary & 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 2026-10-27).

Computes grouped numeric statistics and fills missing values for texture baking records (bake_seconds, texture_pixels) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-099?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-27
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-analytics-grouped-summary-missing-value-fill-6901d0b1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GnEnZFKkuszQOnWB-HQnb

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-analytics-grouped-summary-missing-value-fill-6901d0b1 -d '<json body>'
```

Example prompt: I have up to 200 rows of texture baking data with bake_seconds and texture_pixels grouped by asset_group — can you give me a grouped numeric summary and fill any missing bake_seconds values using median imputation?

## When to prefer this

Choose this endpoint when you have up to 200 texture baking records and need both grouped aggregate statistics and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for creative/3D production pipelines where bake_seconds and texture_pixels need offline summarization and data cleaning without any live lookups or external dependencies. Prefer alternatives if you need real-time data, predictions, or analysis on more than 200 rows.

## Known failure modes

- Submitting more than 200 rows returns an error due to row limit
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Rows missing required fields (row_id, asset_group, date) are rejected
- Numeric values outside the allowed range cause schema validation errors
- Unsupported imputation method or field enum value returns a bad request error

## How this service works

Texture baking — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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 analytical reports: (1) a grouped numeric summary showing aggregate statistics (e.g. mean, median, count) for the selected field (bake_seconds or texture_pixels) broken down by asset_group; and (2) a dataset with missing values in the chosen field explicitly filled using the selected method (zero, mean, or median). No external data is fetched; all analysis uses the supplied rows only.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-baking-analytics-grouped-summary-missing-value-fill-6901d0b1/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)