# Texture Baking Analytics — Date-Category Pivot + Keyed Dataset Comparison

> Texture Baking Analytics — Date-Category Pivot + Keyed Dataset Comparison 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).

Runs two local analytical reports on texture baking data: a date-by-category pivot table and a keyed comparison between two datasets, for up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-188?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-date-category-pivot-keyed-dataset-comparison-0185c672
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2W2FS23dm_WpRs0P75dQ9

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-date-category-pivot-keyed-dataset-comparison-0185c672 -d '<json body>'
```

Example prompt: I have two batches of texture baking records — each up to 200 rows with fields like asset_group, date, bake_seconds, and texture_pixels. Can you pivot the primary batch by date and asset group on bake_seconds, and also compare it row-by-row against the second batch?

## When to prefer this

Choose this endpoint when you need both a date-by-category pivot and a keyed comparison report on texture baking data (bake_seconds, texture_pixels) in a single paid call for up to 200 rows. It is ideal for 3D/VFX pipelines where you want to audit render performance across asset groups over time and diff two production runs simultaneously. Prefer this over general analytics APIs when your data is specifically structured around texture baking fields and you want two reports bundled at $0.01 USDC.

## Known failure modes

- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) in any row — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Empty rows array — schema error
- Payment of 0.01 USDC not completed via x402 protocol — 402 response

## How this service works

Texture baking — Date by category pivot + Keyed dataset comparison: Date by category pivot + Keyed dataset comparison 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 structured analytical reports: (1) a date-by-category pivot table showing the selected metric (bake_seconds or texture_pixels) aggregated per date and asset_group for the primary dataset, and (2) a keyed row-by-row comparison between the primary and secondary datasets highlighting differences in the chosen metric across matching row IDs.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "bake_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "texture_pixels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "bake_seconds": 10,
     "texture_pixels": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "bake_seconds": 20,
     "texture_pixels": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "bake_seconds": 15,
     "texture_pixels": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "bake_seconds": 30,
     "texture_pixels": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "bake_seconds",
    "texture_pixels"
   ],
   "type": "string",
   "default": "bake_seconds"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "bake_seconds",
     "texture_pixels"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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"
      ],
      "maxim
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-baking-analytics-date-category-pivot-keyed-dataset-comparison-0185c672/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)