# Scene Geometry Analytics — Numeric Row Ordering + Two-Measure Correlation

> Scene Geometry Analytics — Numeric Row Ordering + 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 2026-10-22).

Computes numeric row ordering and Pearson/rank correlation between object_count and triangle_count across up to 200 scene geometry records, returning two bundled analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-120?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-numeric-row-ordering-two-measure-correlation-02fc85bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CD8ICU6BnN0z7TexScZTV

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-row-ordering-two-measure-correlation-02fc85bd -d '<json body>'
```

Example prompt: Rank these scene geometry rows by object_count and also compute the correlation between object_count and triangle_count — 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 need both a numeric ordering of scene geometry rows and a statistical correlation between object_count and triangle_count in a single, low-cost call. It is purpose-built for 3D pipeline analytics (game engines, rendering pipelines, asset management) where you want to understand geometry complexity relationships without sending data to an external ML or prediction service. Prefer it over generic statistics APIs when your data fits the scene geometry schema (object_count, triangle_count, asset_group, date) and you want two bundled reports for $0.01 USDC.

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds max row limit
- Missing required fields (row_id, date, object_count, triangle_count) on any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Payment not included or insufficient — x402 payment required error
- Both measures are constant (zero variance) — correlation computation may return NaN or undefined

## How this service works

Scene geometry — Numeric row ordering + Two-measure correlation: Numeric row ordering + 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) the input rows reordered numerically by the chosen field (object_count or triangle_count), and (2) a statistical correlation report quantifying the relationship between object_count and triangle_count across the supplied rows. Both reports are computed locally 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-row-ordering-two-measure-correlation-02fc85bd/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)