# UV Layouts — Category Frequencies + Two-Measure Correlation

> UV Layouts — Category Frequencies + Two-Measure Correlation 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).

Analyzes UV layout records by computing category frequency distributions and Pearson/rank correlation between island_count and occupied_percent across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-06-108?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-category-frequencies-two-measure-correlation-1e3c0e7b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JYwjMccCxF3kkAAYwe6wt

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-category-frequencies-two-measure-correlation-1e3c0e7b -d '<json body>'
```

Example prompt: I have UV layout records for two asset groups across four dates — row-1 through row-4, with island counts of 10, 20, 15, 30 and occupied percents of 1, 2, 3, 4. Can you run the category frequency breakdown for asset_group and compute the correlation between island_count and occupied_percent across all rows?

## When to prefer this

Choose this endpoint when you have UV layout tabular data with an asset_group categorical column plus two numeric measures (island_count and occupied_percent) and need both a frequency distribution and a bivariate correlation in a single low-cost call. It is ideal for 3D pipeline QA, UV packing analysis, and asset auditing workflows where you want two reports bundled for $0.01 without any external data dependencies or side effects.

## Known failure modes

- Fewer than 1 row submitted — minimum row count validation error
- More than 200 rows submitted — maxItems exceeded error
- Missing required fields (row_id, island_count, occupied_percent) — schema validation failure
- Both numeric columns contain all nulls — correlation cannot be computed, likely returns NaN or error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Non-numeric values in island_count or occupied_percent — type coercion or rejection error

## How this service works

UV layouts — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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 independent analytical reports: (1) a category frequency table showing how often each unique asset_group value appears in the supplied rows, and (2) a correlation statistic (likely Pearson r or equivalent) between the island_count and occupied_percent numeric columns across all supplied rows. Results are derived solely from the submitted 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/uv-layouts-category-frequencies-two-measure-correlation-1e3c0e7b/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)