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Texture Streaming Data Cleaner — Deduplication & Missing-Value Fill
x402
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.
Price / call$0.01
Success—
StatusUnknown
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.
Example use cases
Clean game texture streaming logs
“I've got a batch of texture streaming records from our game engine — some rows are duplicated and a bunch of loaded_mb values are null. Can you deduplicate everything and fill in those missing loaded_mb values using median, then give me the cleaned reports?”
Impute missing stream latency metrics
“My texture streaming dataset has missing stream_ms entries across several game areas. Can you deduplicate the rows and fill in the missing stream_ms values using mean imputation? I have about 150 rows total.”
Pre-process texture data before dashboard upload
“Before I push these texture streaming records to our dashboard, I need to strip out exact duplicate rows and replace any null loaded_mb fields with zero. Can you run the deduplication and zero-fill on this set of rows and return the two reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-09-054?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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