# Scene Geometry Data Quality Audit, String Normalisation & Numeric Row Ordering

> Scene Geometry Data Quality Audit, String Normalisation & Numeric 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 2026-10-17).

Runs three local analytical reports on scene geometry records (object_count, triangle_count): a record quality audit, string normalisation, and numeric row ordering — for up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-196?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-data-quality-audit-string-normalisation-numeric-row-84f60b45
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qq9wAjCMGZy7aAbHrfIzJ

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-data-quality-audit-string-normalisation-numeric-row-84f60b45 -d '<json body>'
```

Example prompt: Can you audit the data quality, normalise the asset group strings, and sort rows by object_count for my scene geometry records? I have up to 50 rows with fields like row_id, asset_group, date, object_count, and triangle_count.

## When to prefer this

Choose this endpoint when you need three bundled analytical operations (quality audit, string normalisation, numeric ordering) on scene geometry data (object_count, triangle_count) in a single cheap call. It is ideal for 3D asset pipeline pre-processing, VFX or game dev data hygiene workflows, and lightweight local analytics without any external lookup or AI inference cost. Prefer it over general-purpose data tools when you specifically work with scene geometry record structures and want all three reports for $0.01 USDC.

## Known failure modes

- More than 200 rows submitted — exceeds the 200-row limit and will be rejected
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) on any row
- Invalid date format (must be YYYY-MM-DD)
- Invalid field selector — must be 'object_count' or 'triangle_count'
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment failure — insufficient USDC balance or x402 protocol error

## How this service works

Scene geometry — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied scene geometry records (object_count, triangle_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit identifying data issues in the supplied rows, (2) a string normalisation report for text fields like asset_group, and (3) a numeric row ordering report ranking rows by the selected field (object_count or triangle_count). All 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-data-quality-audit-string-normalisation-numeric-row-84f60b45/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)