# UI Screens Adjacent Row Changes + Explicit Missing-Value Fill

> UI Screens Adjacent Row Changes + 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 2026-10-25).

Analyzes UI screen data (widget_count, render_ms) by computing adjacent row changes and explicitly filling missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-16-162?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ui-screens-adjacent-row-changes-explicit-missing-value-fill-f4e201d8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GdGhZKXQ7DXcfmnvEOYtu

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 ui-screens-adjacent-row-changes-explicit-missing-value-fill-f4e201d8 -d '<json body>'
```

Example prompt: I have up to 200 rows of UI screen data with row_id, game_area, date, widget_count, and render_ms — some values are null. Can you run adjacent row change analysis plus median missing-value fill on the widget_count field and give me both reports?

## When to prefer this

Choose this endpoint when you have UI screen records (with widget_count or render_ms metrics) and need both sequential delta analysis and missing value imputation in a single low-cost call. Ideal for small-to-medium datasets up to 200 rows where you want offline, deterministic computation without external API dependencies. Prefer this over general-purpose analytics tools when you need the two specific report types (adjacent changes + explicit fill) bundled together at a fixed micro-payment cost.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, game_area) cause row-level errors
- Invalid date format (must be YYYY-MM-DD) causes parse failure
- Invalid method enum value (not zero/mean/median) causes rejection
- All values null for selected field makes mean/median imputation undefined
- Payment of 0.01 USDC not attached or rejected causes 402 error

## How this service works

UI screens — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill for supplied ui screens records (widget_count, render_ms). 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) an adjacent row change report showing the difference between each consecutive row for the selected field (widget_count or render_ms), and (2) an explicit missing-value fill report showing imputed values using the chosen method (zero, mean, or median). Both reports are computed locally against the supplied rows with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "game_area",
     "date",
     "widget_count",
     "render_ms"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "render_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "widget_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "game_area": "group-a",
     "render_ms": 1,
     "widget_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "game_area": "group-b",
     "render_ms": 2,
     "widget_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "game_area": "group-a",
     "render_ms": 3,
     "widget_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "game_area": "group-b",
     "render_ms": 4,
     "widget_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "widget_count",
    "render_ms"
   ],
   "type": "string",
   "default": "widget_count"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ui-screens-adjacent-row-changes-explicit-missing-value-fill-f4e201d8/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)