# Texture Baking Data — Exact Row Deduplication + Daily Sum Series

> Texture Baking Data — Exact Row Deduplication + 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 2026-10-22).

Deduplicates texture baking records by exact row match and computes daily sum time series for bake_seconds or texture_pixels, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-044?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-data-exact-row-deduplication-daily-sum-series-676517aa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_u3bN3w0HWgYuTH-K-NSwF

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-data-exact-row-deduplication-daily-sum-series-676517aa -d '<json body>'
```

Example prompt: I have up to 200 rows of texture baking records with fields row_id, asset_group, date, bake_seconds, and texture_pixels — can you deduplicate the exact duplicate rows and also give me a daily sum series for bake_seconds?

## When to prefer this

Choose this endpoint when you need to simultaneously clean duplicate texture baking records AND get a daily aggregated time series from the same dataset in a single $0.01 call. Ideal for 3D production pipelines tracking per-asset bake times and pixel output over time, where duplicate log entries are common. Not suitable for real-time lookups, predictive analytics, or datasets exceeding 200 rows.

## Known failure modes

- Rows exceeding 200 items will be rejected — maxItems is 200
- Missing required fields (row_id, date, bake_seconds, texture_pixels, asset_group) will cause validation errors
- Invalid date format (must be YYYY-MM-DD) will fail pattern validation
- Null numeric values are accepted but may produce gaps in the daily sum series
- Selecting an invalid field enum value (not bake_seconds or texture_pixels) will error

## How this service works

Texture baking — Exact row deduplication + Daily sum series: Exact row deduplication + 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 reports: (1) a deduplicated list of rows with exact duplicate entries removed, and (2) a daily sum time series for the selected field (bake_seconds or texture_pixels), aggregating values by date across all asset groups. 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-data-exact-row-deduplication-daily-sum-series-676517aa/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)