# UI Screens — String Normalisation + Exact Row Deduplication

> UI Screens — String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Normalises strings and identifies exact duplicate rows in UI screen records containing widget_count and render_ms fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-16-020?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/ui-screens-string-normalisation-exact-row-deduplication-7eb5769a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_m3SiL4H7W3OinqIqDwnUB

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-string-normalisation-exact-row-deduplication-7eb5769a -d '<json body>'
```

Example prompt: Can you normalise the strings and find exact duplicate rows in my UI screen data? I have records with game areas like 'group-a' and 'group-b', widget counts, and render times in milliseconds — here are up to 200 rows I need the two reports for.

## When to prefer this

Choose this endpoint when you have UI screen performance records (with widget_count and render_ms) that need both string field normalisation and exact duplicate row detection in a single low-cost call. It is best suited for small-to-medium datasets (up to 200 rows) where offline/local analysis is sufficient and no live lookups or predictions are needed. Prefer it over general-purpose data tools when you want two bundled reports at a fixed cost of $0.01 USDC.

## Known failure modes

- Input array exceeds 200 rows — request rejected or truncated
- Missing required fields (row_id, game_area, date, widget_count, render_ms) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Empty rows array — minimum 1 item required
- Numeric values out of supported range — validation error

## How this service works

UI screens — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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) a string normalisation report detailing standardised values across string fields such as game_area, and (2) an exact row deduplication report identifying duplicate records based on all fields. Reports cover up to 200 input rows and are generated using local analytical engines 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/ui-screens-string-normalisation-exact-row-deduplication-7eb5769a/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)