# Texture Streaming Data Cleaner — Deduplication & Missing-Value Fill

> Texture Streaming Data Cleaner — Deduplication & 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).

Deduplicates texture streaming rows and fills missing loaded_mb or stream_ms 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-09-054?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/texture-streaming-data-cleaner-deduplication-missing-value-fill-64f49829
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__SLvrn_XDgEpLxn9z2N5c

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 texture-streaming-data-cleaner-deduplication-missing-value-fill-64f49829 -d '<json body>'
```

Example prompt: I have up to 200 texture streaming records with fields like loaded_mb and stream_ms — can you deduplicate the rows and fill any missing loaded_mb values using median imputation, then give me 2 analytical reports on the cleaned data?

## When to prefer this

Choose this endpoint when you have texture streaming records (loaded_mb, stream_ms) that need exact duplicate row removal and null/missing value imputation in a single low-cost step, without requiring live data lookup or external ML prediction. It is ideal for lightweight pre-processing pipelines in game analytics workflows handling up to 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, game_area, date) — schema validation failure
- Unknown imputation method or field enum value — bad request error
- Empty row array — minimum 1 row required

## How this service works

Texture streaming — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied texture streaming records (loaded_mb, stream_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

Returns two analytical reports covering the supplied texture streaming rows after exact duplicate removal and missing-value imputation (zero, mean, or median) on the chosen field (loaded_mb or stream_ms), for up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-streaming-data-cleaner-deduplication-missing-value-fill-64f49829/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)