# Texture Baking Analytics — Numeric Distribution + Keyed Dataset Comparison

> Texture Baking Analytics — Numeric Distribution + 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).

Analyzes texture baking records by computing numeric distribution statistics and comparing two keyed datasets for bake_seconds or texture_pixels fields, up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-084?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-keyed-dataset-comparison-0415448a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qMFppAFtP9vZAamqw--Dw

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-keyed-dataset-comparison-0415448a -d '<json body>'
```

Example prompt: Can you analyze the distribution of bake_seconds across my texture baking records and compare them to a second batch? I have two sets of up to 200 rows each with row_id, asset_group, date, bake_seconds, and texture_pixels — run both the numeric distribution and keyed dataset comparison reports on the bake_seconds field.

## When to prefer this

Choose this endpoint when you need both a numeric distribution analysis and a keyed comparison between two texture baking datasets in a single $0.01 call. It is ideal for 3D production pipelines where you want to statistically characterize bake times or pixel counts and simultaneously diff two render batches by row key, all without requiring external lookups or predictions.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required row fields (row_id, asset_group, date, bake_seconds, texture_pixels) — validation error
- Invalid date format not matching YYYY-MM-DD — schema validation failure
- Field value outside allowed numeric range — rejected
- Payment not provided or insufficient USDC — 402 payment required response
- Empty rows array — minimum 1 row required

## How this service works

Texture baking — Numeric distribution + Keyed dataset comparison: Numeric distribution + 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 analytical reports: (1) a numeric distribution report showing statistical breakdown (e.g. min, max, mean, percentiles, histogram buckets) of the selected field (bake_seconds or texture_pixels) across the primary dataset, and (2) a keyed dataset comparison report matching rows by key between the primary and secondary datasets to highlight differences in the selected field.

## 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-numeric-distribution-keyed-dataset-comparison-0415448a/health.json
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