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Audio Voices — String Normalisation + Two-Measure Correlation
x402
Audio Voices — String Normalisation + Two-Measure Correlation 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 string fields and computes two-measure correlation between active_voices and audio_cpu_ms across up to 200 audio voice records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Audio voices — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied audio voices records (active_voices, audio_cpu_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: (1) a string normalisation report cleaning and standardising the game_area and other string fields, and (2) a two-measure correlation report showing the statistical relationship between active_voices and audio_cpu_ms across the supplied rows (up to 200).
Example use cases
Game audio CPU cost analysis
“I've got daily records from our game engine with active_voices and audio_cpu_ms per game area — can you normalise the game_area strings and compute the correlation between voice count and CPU usage so I can tell if we're CPU-bound by voice count?”
Audio performance regression check
“After our latest audio patch I have 150 rows of before/after data with active_voices and audio_cpu_ms — please normalise the area labels and give me a two-measure correlation report so I can see if the relationship between voices and CPU time changed.”
Multi-area voice load statistical summary
“We track active_voices and audio_cpu_ms across several game areas daily — run string normalisation on the area names and compute a two-measure correlation between those two metrics across all the rows so I can share the findings with the audio team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-10-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular game audio data with an active_voices count and audio_cpu_ms timing column and want both string normalisation of categorical fields and a statistical two-measure correlation in a single cheap call. Ideal for offline batch analysis of up to 200 rows where no live data lookup or prediction is needed.
Side effects
- Fewer than 1 row or more than 200 rows supplied — request rejected
- Missing required fields (row_id, date, active_voices, audio_cpu_ms) in any row — validation error
- Non-numeric values in active_voices or audio_cpu_ms — type error
- Date string not matching YYYY-MM-DD pattern — pattern validation failure
- Insufficient variance in one or both numeric columns for meaningful correlation — degenerate result warning
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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