# Texture Baking Analytics — Exact Row Deduplication + Base-100 Series

> Texture Baking Analytics — Exact Row Deduplication + Base-100 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).

Deduplicates texture baking records and generates a Base-100 index series for bake_seconds or texture_pixels metrics across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-047?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-exact-row-deduplication-base-100-series-3b749913
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8sUJsdLuZ2o3m6vgMlul1

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-exact-row-deduplication-base-100-series-3b749913 -d '<json body>'
```

Example prompt: Can you deduplicate my texture baking records and generate a Base-100 index series for bake_seconds, starting from row index 0? I have data for two asset groups across several dates with bake_seconds and texture_pixels values.

## When to prefer this

Choose this endpoint when you need to clean texture baking datasets by removing exact duplicate rows AND simultaneously produce a Base-100 normalized index series for trend analysis — all in a single, low-cost call. Ideal for 3D asset pipeline analytics workflows where baking time or texture resolution data needs deduplication before benchmarking. Not suitable for live data fetching, predictive modeling, or datasets exceeding 200 rows.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, bake_seconds, texture_pixels) causes schema rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- base_index out of range (0–199) causes an error
- Null values in the selected metric field may affect index calculation accuracy

## How this service works

Texture baking — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 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: (1) a deduplicated set of the supplied texture baking rows with exact duplicate records removed, and (2) a Base-100 index series for the chosen field (bake_seconds or texture_pixels) anchored at the specified base_index row, enabling relative trend comparison across dates and asset groups.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-baking-analytics-exact-row-deduplication-base-100-series-3b749913/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)