# Scene Geometry Analytics — Category Frequencies & Numeric Interval Filter

> Scene Geometry Analytics — Category Frequencies & Numeric Interval Filter 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).

Analyzes scene geometry records (up to 200 rows) to produce category frequency counts by asset group and a numeric interval filter report for object_count or triangle_count fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-101?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/scene-geometry-analytics-category-frequencies-numeric-interval-filter-1ca0462d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TSXrawcVlfuxjgL-T7Hky

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-numeric-interval-filter-1ca0462d -d '<json body>'
```

Example prompt: Can you run category frequency analysis and an interval filter on my scene geometry data — I have rows with asset_group, object_count, and triangle_count — filter triangle_count between 0 and 500, and group everything by asset_group to see the distribution?

## When to prefer this

Choose this endpoint when you have scene geometry records (with asset_group categories and numeric object_count or triangle_count fields) and need both a category frequency breakdown and an interval-filtered subset in a single API call. Ideal for 3D asset pipelines, game development workflows, or creative tooling where you want to understand distribution across scene groups and isolate records within a specific numeric range — without sending data to a live external service.

## Known failure modes

- More than 200 rows submitted — endpoint rejects with an items limit error
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) cause validation failure
- Invalid date format (not YYYY-MM-DD) triggers pattern validation error
- Minimum greater than maximum produces an empty or nonsensical interval filter result
- Numeric values outside ±1,000,000,000,000 range are rejected by schema validation

## How this service works

Scene geometry — Category frequencies + Numeric interval filter: Category frequencies + Numeric interval filter 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) category frequency counts showing how many records belong to each asset_group category, and (2) a filtered subset of rows where the selected numeric field (object_count or triangle_count) falls within the specified minimum and maximum interval. Up to 200 input rows are supported.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-analytics-category-frequencies-numeric-interval-filter-1ca0462d/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)