# Scene Geometry Analytics — Two-Measure Correlation + Date by Category Pivot

> Scene Geometry Analytics — Two-Measure Correlation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Computes a two-measure correlation (object_count vs triangle_count) and a date-by-category pivot table for up to 200 supplied scene geometry records in a single $0.01 call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-182?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scene-geometry-analytics-two-measure-correlation-date-by-category-pivot-ccfad748
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nBp6wkrGwtkNqXr5PGGKF

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 scene-geometry-analytics-two-measure-correlation-date-by-category-pivot-ccfad748 -d '<json body>'
```

Example prompt: I have scene geometry records for two asset groups — here are up to 200 rows each with a row_id, asset_group, date, object_count, and triangle_count — can you run both a correlation analysis between object_count and triangle_count AND a date-by-category pivot on this data?

## When to prefer this

Choose this endpoint when you need both a pairwise correlation analysis AND a date-by-category pivot on scene geometry data (object_count, triangle_count) in a single low-cost call. It is purpose-built for 3D asset and scene data with asset_group categorization, making it ideal for game development, animation, or simulation pipelines that want to understand geometry complexity relationships and temporal trends across asset categories without building their own analytics stack.

## Known failure modes

- Fewer than 1 row supplied — minimum row requirement not met
- More than 200 rows supplied — exceeds maximum row limit
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (±1,000,000,000,000)
- Payment not fulfilled — x402 payment required at $0.01 USDC

## How this service works

Scene geometry — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied scene geometry records (object_count, triangle_count). 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 two-measure correlation result quantifying the statistical relationship between object_count and triangle_count across the supplied rows, and (2) a date-by-category pivot table summarizing the selected measure broken down by date and asset_group. All computation is performed locally on 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",
     "object_count",
     "triangle_count"
    ],
    "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
     },
     "object_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "triangle_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "object_count": 10,
     "triangle_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "object_count": 20,
     "triangle_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "object_count": 15,
     "triangle_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "object_count": 30,
     "triangle_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "object_count",
    "triangle_count"
   ],
   "type": "string",
   "default": "object_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-analytics-two-measure-correlation-date-by-category-pivot-ccfad748/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)