# Point Clouds Data Quality Audit, String Normalisation & Numeric Row Ordering

> Point Clouds 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 2026-10-23).

Runs three independent analytical reports on point cloud records: a record quality audit, string normalisation, and numeric row ordering for up to 200 rows of point_count and file_mb data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-22-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/point-clouds-data-quality-audit-string-normalisation-numeric-row-3a2404c1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2t4yWDw7Ug7cfD7UEh7cJ

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 point-clouds-data-quality-audit-string-normalisation-numeric-row-3a2404c1 -d '<json body>'
```

Example prompt: Can you audit the data quality, normalise the asset group strings, and sort by point_count for these point cloud records: [{"row_id":"r1","asset_group":"Site A","date":"2025-01-15","point_count":500000,"file_mb":120.5},{"row_id":"r2","asset_group":"site a","date":"2025-01-16","point_count":null,"file_mb":85.2}]? I want all three reports.

## When to prefer this

Choose this endpoint when you need to simultaneously audit data quality, normalise string fields, and sort by a numeric column on point cloud records (point_count, file_mb) in a single low-cost call. It is ideal for batch pre-processing of LiDAR or 3D scan metadata before ingestion into a pipeline, and when you want three bundled analytical reports without any external API calls or live data lookups.

## Known failure modes

- Empty rows array returns an error (minItems: 1)
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Invalid field enum value (not point_count or file_mb) rejected
- row_id missing or empty string fails minLength validation
- Numeric fields outside allowed range rejected

## How this service works

Point clouds — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied point clouds records (point_count, file_mb). 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

Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed values across rows; (2) string normalisation results for the asset_group field; and (3) rows reordered numerically by the chosen field (point_count or file_mb). All processing is performed 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",
     "point_count",
     "file_mb"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "file_mb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "point_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "file_mb": 1,
     "asset_group": "group-a",
     "point_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "file_mb": 2,
     "asset_group": "group-b",
     "point_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "file_mb": 3,
     "asset_group": "group-a",
     "point_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "file_mb": 4,
     "asset_group": "group-b",
     "point_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "point_count",
    "file_mb"
   ],
   "type": "string",
   "default": "point_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/point-clouds-data-quality-audit-string-normalisation-numeric-row-3a2404c1/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)