# UV Layouts — Record Quality Audit + String Normalisation + IQR Outlier Flags

> UV Layouts — Record Quality Audit + String Normalisation + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).

Audits up to 200 UV layout records for quality issues, normalises string fields, and flags numeric outliers using IQR analysis across island_count and occupied_percent fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-06-203?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-27
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/uv-layouts-record-quality-audit-string-normalisation-iqr-outlier-flags-7bb34751
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5KRdwmqqZy7uA88Gfg_-w

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 uv-layouts-record-quality-audit-string-normalisation-iqr-outlier-flags-7bb34751 -d '<json body>'
```

Example prompt: Can you audit these UV layout records for data quality issues, normalise the string fields, and flag any IQR outliers in the island_count column? I have about 50 rows with row_id, asset_group, date, island_count, and occupied_percent values.

## When to prefer this

Choose this endpoint when you need a combined data quality audit, string normalisation, and IQR outlier detection in a single call for UV layout records specifically containing island_count and occupied_percent metrics. It is ideal for pre-processing pipelines where you want three analytical reports in one low-cost API call without any external data lookups or predictions. Prefer it over single-report alternatives when you need all three analyses simultaneously on datasets up to 200 rows.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Missing required fields (row_id, asset_group, date, island_count, occupied_percent) cause row rejection
- Invalid field selector enum value (not island_count or occupied_percent) causes error
- Empty rows array causes immediate failure
- Numeric values outside allowed range cause validation errors

## How this service works

UV layouts — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags for supplied uv layouts records (island_count, occupied_percent). 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 identifying missing, malformed, or invalid field values; (2) a string normalisation report showing standardised versions of text fields like asset_group; and (3) an IQR-based outlier flag report identifying rows with statistically anomalous values in the selected numeric field (island_count or occupied_percent). All analysis is performed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "island_count",
     "occupied_percent"
    ],
    "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
     },
     "island_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "occupied_percent": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "island_count": 10,
     "occupied_percent": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "island_count": 20,
     "occupied_percent": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "island_count": 15,
     "occupied_percent": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "island_count": 30,
     "occupied_percent": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "island_count",
    "occupied_percent"
   ],
   "type": "string",
   "default": "island_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/uv-layouts-record-quality-audit-string-normalisation-iqr-outlier-flags-7bb34751/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)