# Scene Geometry String Normalisation + Two-Measure Correlation

> Scene Geometry String Normalisation + 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 2026-10-17).

Normalises string fields and computes pairwise correlation between object_count and triangle_count across up to 200 scene geometry records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-033?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-string-normalisation-two-measure-correlation-46e73648
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZrCJkBWUcLipZuEIoHSY2

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-string-normalisation-two-measure-correlation-46e73648 -d '<json body>'
```

Example prompt: I have a batch of scene geometry records with asset groups, dates, object counts, and triangle counts — can you normalise the string fields and compute the correlation between object_count and triangle_count across all rows? Here are up to 200 rows including groups like 'group-a' and 'group-b' from October 2026.

## When to prefer this

Choose this endpoint when you have scene geometry tabular data with both string fields needing normalisation and two numeric measures (object_count, triangle_count) you want correlated in a single cheap call. Ideal for 3D pipeline QA, game asset analytics, or rendering preparation workflows where you need both data cleaning and statistical relationship analysis in one pass without external dependencies.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, asset_group, object_count, triangle_count) causes row rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Null values in both numeric measures may reduce correlation statistical validity
- Empty rows array returns an error

## How this service works

Scene geometry — String normalisation + Two-measure correlation: String normalisation + 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 string normalisation report cleaning and standardising text fields such as asset_group across submitted rows, and (2) a pairwise correlation analysis between object_count and triangle_count measures across up to 200 submitted scene geometry records. All processing is local 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-string-normalisation-two-measure-correlation-46e73648/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)