# UV Layouts — Date by Category Pivot + Explicit Missing-Value Fill

> UV Layouts — Date by Category Pivot + 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).

Pivots UV layout records (island_count, occupied_percent) by date and asset_group category, then fills missing values using zero, mean, or median imputation — delivering two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-06-189?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-date-by-category-pivot-explicit-missing-value-fill-0a161a85
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ma8i01dErrFYjxGW4Z1wR

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-date-by-category-pivot-explicit-missing-value-fill-0a161a85 -d '<json body>'
```

Example prompt: Take my UV layout records — rows with date, asset_group, island_count, and occupied_percent — pivot island_count by date and asset_group, and fill any missing values using the median method. I have up to 50 rows covering groups like 'zone-a' and 'zone-b' across several dates in October 2026.

## When to prefer this

Choose this endpoint when you have UV layout tabular records keyed by date and asset_group and need both a pivot table and a missing-value-filled version in a single call. It is purpose-built for UV layout domain data (island_count, occupied_percent) and handles imputation natively, making it preferable to generic pivot tools when your data matches this schema exactly and you want two outputs for $0.01.

## Known failure modes

- Rows array empty or missing: validation error returned
- More than 200 rows submitted: request rejected with max-items error
- Invalid date format (not YYYY-MM-DD): schema validation failure
- Unknown field or method enum value: rejected with enum constraint error
- All values for selected field are null: imputation may return zero or NaN depending on method
- Payment not included or insufficient USDC: 402 Payment Required response

## How this service works

UV layouts — Date by category pivot + Explicit missing-value fill: Date by category pivot + 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

Returns two analytical reports: (1) a date-by-category pivot table showing the selected field (island_count or occupied_percent) broken out by date and asset_group, and (2) a version with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports cover the up to 200 submitted rows.

## 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-date-by-category-pivot-explicit-missing-value-fill-0a161a85/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)