# UV Layouts — Record Quality Audit + String Normalisation + Date by Category Pivot

> UV Layouts — Record Quality Audit + String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Runs three local analytical reports (record quality audit, string normalisation, and date-by-category pivot) on up to 200 rows of UV layout data containing island_count and occupied_percent fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-06-206?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/uv-layouts-record-quality-audit-string-normalisation-date-by-category-c25229cc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RH-_UTogLN_Td_n2-6zzG

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-date-by-category-c25229cc -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and date-by-category pivot on my UV layout data? I have 4 rows with island_count values, and I want to focus the pivot on the island_count field — here are the records: row-1 for group-a on 2026-10-01 with island_count 10 and occupied_percent 1, row-2 for group-b on 2026-10-02 with island_count 20 and occupied_percent 2.

## When to prefer this

Choose this endpoint when you need to simultaneously quality-audit, normalise, and pivot a small-to-medium UV layout dataset (up to 200 rows) in a single low-cost call. It is ideal for offline/local analytical processing of UV layout records without requiring any external data lookup, live prediction, or professional assessment. Prefer it over single-report alternatives when you need all three report types bundled for $0.01 USDC.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, asset_group, date, island_count, occupied_percent) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Field selector not one of 'island_count' or 'occupied_percent' — enum validation error
- Payment of 0.01 USDC not provided or failed — 402 Payment Required

## How this service works

UV layouts — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot 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

Three independent analytical reports on the supplied UV layout rows: (1) a record quality audit identifying completeness, range, and consistency issues; (2) a string normalisation report cleaning and standardising text fields; and (3) a date-by-category pivot summarising the selected numeric field (island_count or occupied_percent) broken down by asset_group and date. 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",
     "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-date-by-category-c25229cc/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)