# Texture Baking Analytics — Exact Row Deduplication + Trailing Mean Series

> Texture Baking Analytics — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Deduplicates texture baking records and computes a trailing mean time series for bake_seconds or texture_pixels data, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-045?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-analytics-exact-row-deduplication-trailing-mean-series-6f66936a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lMpJ_yLRC20EI0xyhNum5

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-trailing-mean-series-6f66936a -d '<json body>'
```

Example prompt: Deduplicate my texture baking records and compute a trailing mean series for bake_seconds with a window of 3 — here are my rows: [{"row_id":"r1","asset_group":"env-a","date":"2025-01-01","bake_seconds":120,"texture_pixels":4096},{"row_id":"r2","asset_group":"env-b","date":"2025-01-02","bake_seconds":95,"texture_pixels":2048}].

## When to prefer this

Choose this endpoint when you have texture baking records (with bake_seconds and/or texture_pixels fields) and need both exact duplicate removal and a rolling/trailing mean time series in a single low-cost call. Ideal for 3D production pipelines needing lightweight data cleaning and trend smoothing without external data lookups or predictions. Not suitable for data requiring live enrichment, forecasting, grouped aggregations, or more than 200 rows.

## Known failure modes

- Fewer than 1 row supplied — rejected by schema minItems constraint
- More than 200 rows supplied — rejected by schema maxItems constraint
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Missing required fields (row_id, date, bake_seconds, texture_pixels) — schema validation error
- Window size smaller than 2 or larger than 200 — rejected by schema bounds
- Null numeric values may affect trailing mean computation coverage
- Payment not completed — x402 payment required before response is returned

## How this service works

Texture baking — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean 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) an exact row deduplication report identifying and removing fully duplicate records from the supplied texture baking data, and (2) a trailing mean series computed over the selected numeric field (bake_seconds or texture_pixels) using the specified rolling window size. 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-baking-analytics-exact-row-deduplication-trailing-mean-series-6f66936a/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)