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

> UV Layouts — Record Quality Audit + 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 2026-10-22).

Runs two local analytical reports on UV layout records: a record quality audit and a date-by-category pivot, for up to 200 rows of island_count or occupied_percent data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-06-017?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/uv-layouts-record-quality-audit-date-by-category-pivot-2957a8ef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TMtFPpz2UmJkvrtfbPaLs

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-date-by-category-pivot-2957a8ef -d '<json body>'
```

Example prompt: Can you run a record quality audit and a date-by-category pivot on my UV layout data? I have 4 rows with island_count values — group-a on 2026-10-01 had 10 islands, group-b on 2026-10-02 had 20, group-a on 2026-10-03 had 15, and group-b on 2026-10-04 had 30 — and I want to analyze the island_count field.

## When to prefer this

Choose this endpoint when you have UV layout tabular data (with island_count or occupied_percent metrics) and need both a data quality audit and a date-by-category pivot in a single low-cost call. Ideal for 3D asset pipelines, game development workflows, or creative production QA processes where you want to validate and summarize UV mapping data before downstream processing. Not suitable if you need live data lookup, predictions, or more than 200 rows per call.

## Known failure modes

- More than 200 rows submitted — request rejected at max item limit
- Missing required fields (row_id, asset_group, date, island_count, or occupied_percent) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value (not 'island_count' or 'occupied_percent') — rejected
- Empty rows array — minimum item constraint violation

## How this service works

UV layouts — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied uv layouts records (island_count, occupied_percent). 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

Returns two analytical reports: (1) a record quality audit flagging data completeness, validity, and anomalies across the supplied UV layout rows; and (2) a date-by-category pivot summarizing the selected metric (island_count or occupied_percent) broken down by date and asset_group. Both reports are computed locally from 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-date-by-category-pivot-2957a8ef/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)