# Texture Baking Analytics — Category Frequencies + Numeric Row Ordering

> Texture Baking Analytics — Category Frequencies + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Computes category frequency distributions and numeric row ordering for texture baking records (bake_seconds, texture_pixels) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-100?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-analytics-category-frequencies-numeric-row-ordering-940dc147
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5NoL-kAAjJK28ApImUToL

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-numeric-row-ordering-940dc147 -d '<json body>'
```

Example prompt: I have a list of up to 200 texture baking records with asset groups, bake durations, and pixel counts — can you give me a frequency count of each asset group and rank all the rows by bake_seconds?

## When to prefer this

Choose this endpoint when you have texture baking production data (bake durations, pixel counts, asset groups) and need both a categorical frequency summary and a numeric ranking in a single low-cost call. It is ideal for 3D/creative pipeline teams auditing baking job distributions without needing predictive models, external data enrichment, or real-time lookups. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch analytical passes on render farm or baking session logs.

## Known failure modes

- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field enum value — must be either 'bake_seconds' or 'texture_pixels'
- Empty rows array — minItems constraint violated
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)

## How this service works

Texture baking — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering 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 frequencies showing how often each asset_group value appears across the submitted rows, and (2) numeric row ordering ranking the rows by the selected numeric field (bake_seconds or texture_pixels). Both reports are computed locally from the supplied data, with no 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-numeric-row-ordering-940dc147/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)