# Texture Baking Analytics — Numeric Distribution + Daily Sum Series

> Texture Baking Analytics — Numeric Distribution + Daily Sum Series 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 a numeric distribution report and a daily sum time series for texture baking records (bake_seconds or texture_pixels) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-075?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-numeric-distribution-daily-sum-series-8aaa89b9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rCSKrmX5XsMTasW5oURr1

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-numeric-distribution-daily-sum-series-8aaa89b9 -d '<json body>'
```

Example prompt: Analyze my texture baking data and give me both a numeric distribution and a daily sum series for bake_seconds — here are my 4 records: row-1 on 2026-10-01 in group-a with 10 bake_seconds and 1 texture_pixel, row-2 on 2026-10-02 in group-b with 20 bake_seconds and 2 texture_pixels, row-3 on 2026-10-03 in group-a with 15 bake_seconds and 3 texture_pixels, row-4 on 2026-10-04 in group-b with 30 bake_seconds and 4 texture_pixels.

## When to prefer this

Choose this endpoint when you need both a distributional summary and a day-by-day aggregated time series for texture baking data in a single $0.01 call. It is ideal for offline/batch analytical reporting on up to 200 records where no live data fetching, prediction, or external integration is needed. Prefer alternatives if you need outlier flags, trailing means, correlations, or other analytical combinations offered by sibling endpoints.

## Known failure modes

- Empty or missing rows array returns a validation error
- Rows exceeding 200 items are rejected (maxItems constraint)
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- row_id missing or empty string triggers a required-field error
- Numeric fields outside ±1,000,000,000,000 are rejected
- Invalid field enum value (not bake_seconds or texture_pixels) causes a bad-request error
- Payment not included or insufficient USDC causes a 402 response

## How this service works

Texture baking — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 for the supplied texture baking dataset: (1) a numeric distribution of the selected field (bake_seconds or texture_pixels) showing statistical spread across all rows, and (2) a daily sum time series aggregating that field's totals by date. Both reports are computed locally from the provided 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-numeric-distribution-daily-sum-series-8aaa89b9/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)