{"uid":"cap_zXfA66tk_ePHK7yid9PAE","slug":"audio-voices-string-normalisation-two-measure-correlation-0a7f5a10","name":"Audio Voices — String Normalisation + Two-Measure Correlation","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-10-033?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","active_voices","audio_cpu_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},"audio_cpu_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"active_voices":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","audio_cpu_ms":1,"active_voices":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","audio_cpu_ms":2,"active_voices":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","audio_cpu_ms":3,"active_voices":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","audio_cpu_ms":4,"active_voices":30}],"maxItems":200,"minItems":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_4xCBMCgbaylmaqxJygazj","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"I have up to 200 rows of game audio data with fields like row_id, game_area, date, active_voices, and audio_cpu_ms — can you normalise the string fields and run a two-measure correlation between active_voices and audio_cpu_ms to see if more voices mean higher CPU cost?","exampleUseCases":[{"title":"Game audio CPU cost analysis","prompt":"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?"},{"title":"Audio performance regression check","prompt":"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."},{"title":"Multi-area voice load statistical summary","prompt":"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."}],"resultDescription":"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).","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:18.264Z","isFirstParty":false,"canonicalSlug":"audio-voices-string-normalisation-two-measure-correlation-0a7f5a10"}