# Scene Geometry Analytics — Category Frequencies + Two-Measure Correlation

> Scene Geometry Analytics — Category Frequencies + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Computes category-frequency distributions and Pearson/rank correlation between object_count and triangle_count for supplied scene geometry records, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-108?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scene-geometry-analytics-category-frequencies-two-measure-correlation-eefd3245
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZngulA3KE4SHSDZkEPq24

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-category-frequencies-two-measure-correlation-eefd3245 -d '<json body>'
```

Example prompt: Analyze this scene geometry dataset for me — I have up to 200 rows with row IDs, asset groups like 'group-a' and 'group-b', dates, object counts, and triangle counts. Give me the category frequency breakdown by asset group and the correlation between object_count and triangle_count.

## When to prefer this

Choose this endpoint when you have structured scene geometry records with object and triangle count measurements and need both a categorical frequency summary and a bivariate correlation between the two numeric measures in a single $0.01 call. It is ideal for 3D pipeline analytics, game asset audits, or rendering data QA where you want quick statistical insight without sending data to an external prediction or ML service.

## Known failure modes

- Empty rows array — minimum 1 row required
- Row count exceeds 200 — request will be rejected or truncated
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) on any row causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern
- Numeric values outside allowed range (±1 trillion) cause schema rejection
- All null values for object_count or triangle_count may prevent meaningful correlation output

## How this service works

Scene geometry — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 category frequency table showing how often each asset_group value appears in the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between object_count and triangle_count across all submitted records. Both reports are computed locally with no external lookups, covering up to 200 input rows.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-analytics-category-frequencies-two-measure-correlation-eefd3245/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)