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Texture Streaming Analytics — String Normalisation + Adjacent Row Changes
x402
Texture Streaming Analytics — String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Analyzes texture streaming records (loaded_mb, stream_ms) by applying string normalisation and computing adjacent row changes across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture streaming — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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: one for string normalisation applied to the game area and related string fields, and one showing adjacent (consecutive) row changes in the selected numeric metric (loaded_mb or stream_ms), covering up to 200 input rows with no external data lookups.
Example use cases
Game area streaming load delta tracking
“I've got daily texture streaming records for two game areas over a week — can you normalise the area name strings and compute the adjacent row changes in loaded_mb so I can see how load shifts between consecutive days?”
Stream latency change detection across sessions
“Here are 50 rows of texture streaming session data with stream_ms readings. Run string normalisation and adjacent row change analysis on the stream_ms field so I can spot where latency jumps between back-to-back sessions.”
QA audit of texture streaming pipeline output
“We just ran our texture streaming pipeline and got 120 records across several game areas. Can you normalise the game_area strings and report the row-to-row differences in loaded_mb to help us catch any anomalies in the output?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-09-029?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw texture streaming records and need both string normalization of categorical fields and row-to-row delta computation on a numeric streaming metric in a single low-cost call. It is best suited for offline batch analysis of up to 200 rows of game telemetry data where no live lookup or prediction is required.
Side effects
- More than 200 rows submitted — request rejected at maxItems limit
- Missing required fields (row_id, date, game_area, loaded_mb, stream_ms) — validation error
- Invalid date format (not YYYY-MM-DD) — schema pattern mismatch
- Invalid field enum value (not loaded_mb or stream_ms) — rejected
- Null numeric values in selected field may produce null deltas in adjacent row report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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