# UV Layouts — Category Frequencies + Explicit Missing-Value Fill

> UV Layouts — Category Frequencies + Explicit Missing-Value Fill 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).

Computes category frequency distributions and fills missing values (zero, mean, or median) for UV layout records containing island_count and occupied_percent fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-06-112?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-explicit-missing-value-fill-78ed73b3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jGspWaALgcJzMhwwYJUrw

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-explicit-missing-value-fill-78ed73b3 -d '<json body>'
```

Example prompt: I have a dataset of UV layout records with island_count and occupied_percent values — some entries are null. Can you run a category frequency analysis on island_count and fill in any missing values using the median, for these rows: row-1 group-a 2026-10-01 island_count=10, row-2 group-b 2026-10-02 island_count=null, row-3 group-a 2026-10-03 island_count=15?

## When to prefer this

Choose this endpoint when you need lightweight, local analytical computation on UV layout tabular data — specifically category frequency distributions and missing-value imputation — without any external lookups, predictions, or model inference. Ideal for data quality checks, preprocessing pipelines, or quick QA on UV layout exports up to 200 rows at $0.01 per call.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, asset_group) on any row — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Unsupported fill method value outside zero/mean/median enum — rejected
- Empty rows array — minimum 1 row required

## How this service works

UV layouts — Category frequencies + Explicit missing-value fill: Category frequencies + Explicit missing-value fill 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

Two analytical reports: (1) a category frequency table showing how often each asset_group value appears in the supplied rows, and (2) the dataset with missing values in the selected field (island_count or occupied_percent) filled using the chosen method (zero, mean, or median). Handles up to 200 rows per call.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/uv-layouts-category-frequencies-explicit-missing-value-fill-78ed73b3/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)