# Scene Geometry Analytics — Numeric Distribution & Row Ordering

> Scene Geometry Analytics — Numeric Distribution & Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Computes numeric distribution statistics and row ordering reports for scene geometry data (object_count, triangle_count) across up to 200 supplied rows, producing two independent analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-073?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scene-geometry-analytics-numeric-distribution-row-ordering-32608e59
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GgxD-qw-UzK1TIzfs4ykr

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-numeric-distribution-row-ordering-32608e59 -d '<json body>'
```

Example prompt: Analyze the numeric distribution and row ordering of object_count across my scene geometry records — I have 4 rows: row-1 (group-a, 2026-10-01, object_count=10, triangle_count=1), row-2 (group-b, 2026-10-02, object_count=20, triangle_count=2), row-3 (group-a, 2026-10-03, object_count=15, triangle_count=3), row-4 (group-b, 2026-10-04, object_count=30, triangle_count=4).

## When to prefer this

Choose this endpoint when you have tabular scene geometry data with object_count and/or triangle_count fields and need both a distributional summary and a ranked ordering of rows in a single cheap call ($0.01 USDC). Ideal for 3D asset pipelines, game development QA, and scene complexity audits where you want local statistical analytics without any external data lookups or predictions. Best when your dataset is up to 200 rows and you want two complementary reports simultaneously.

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) cause row-level rejection
- Numeric values outside ±1,000,000,000,000 range fail schema validation
- Invalid field enum value (not object_count or triangle_count) causes an error

## How this service works

Scene geometry — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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

Two analytical reports per call: (1) a numeric distribution report showing statistical spread of the selected field (object_count or triangle_count) across supplied rows, and (2) a row ordering report ranking rows by that field value. Reports are computed locally from 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-numeric-distribution-row-ordering-32608e59/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)