# Scene Geometry String Normalisation and Numeric Row Ordering

> Scene Geometry String Normalisation and 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).

Normalises string fields and sorts rows numerically for scene geometry records containing object_count and triangle_count fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-025?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-and-numeric-row-ordering-7a74ceb7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dxELeFmpib5ltK7Ccn355

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-and-numeric-row-ordering-7a74ceb7 -d '<json body>'
```

Example prompt: Can you normalise the string fields and sort the rows by object_count for my scene geometry dataset? I have 4 rows: row-1 on 2026-10-01 in group-a with object_count 10 and triangle_count 1, row-2 on 2026-10-02 in group-b with object_count 20 and triangle_count 2, row-3 on 2026-10-03 in group-a with object_count 15 and triangle_count 3, and row-4 on 2026-10-04 in group-b with object_count 30 and triangle_count 4.

## When to prefer this

Choose this endpoint when you need both string normalisation and numeric ordering applied together to scene geometry records (object_count, triangle_count) in a single low-cost call. It is ideal for 3D pipeline data preparation workflows where you want to clean up inconsistent asset group names and rank records by polygon or object complexity. Prefer it over general-purpose data tools when your data fits the scene geometry schema and you want two bundled analytical reports for $0.01.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, object_count, triangle_count) cause row-level errors
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Field selector not in allowed enum (object_count, triangle_count) causes error
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected
- Empty rows array causes immediate error

## How this service works

Scene geometry — String normalisation + Numeric row ordering: String normalisation + 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 delivered per call: one string normalisation report for the asset_group and related string fields across the supplied rows, and one numeric row ordering report ranking rows by the selected numeric field (object_count or triangle_count). Covers up to 200 input rows with no external lookups or predictions.

## 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-string-normalisation-and-numeric-row-ordering-7a74ceb7/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)