# Texture Baking Analytics — Category Frequencies + IQR Outlier Flags

> Texture Baking Analytics — Category Frequencies + IQR Outlier Flags 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 category frequency distributions and IQR-based outlier flags for texture baking records (bake_seconds or texture_pixels) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-107?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-category-frequencies-iqr-outlier-flags-452b847b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7is96DEy64lziclXViLOh

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-category-frequencies-iqr-outlier-flags-452b847b -d '<json body>'
```

Example prompt: I have texture baking records with bake_seconds and asset_group columns — can you run category frequency counts and IQR outlier detection on the bake_seconds field for my 150 rows of data?

## When to prefer this

Choose this endpoint when you have texture baking production data and need both categorical distribution analysis (how many records per asset group) and statistical outlier detection (IQR method) in a single low-cost call. Ideal for 3D pipeline QA, render farm audits, or asset management workflows where you want to identify anomalous bake times or texture sizes without setting up a full analytics stack.

## Known failure modes

- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, bake_seconds, texture_pixels) cause validation failure
- Invalid date format (non-YYYY-MM-DD) triggers schema rejection
- Null values in the selected numeric field may affect IQR calculation
- Invalid enum value for 'field' parameter causes rejection

## How this service works

Texture baking — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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) category frequency counts broken down by asset_group, showing how many records fall in each category; and (2) IQR-based outlier flags identifying which rows have extreme values for the selected numeric field (bake_seconds or texture_pixels). Both reports are computed locally without external lookups.

## 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-analytics-category-frequencies-iqr-outlier-flags-452b847b/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)