{"uid":"cap_wqPrtsSCO9jqaVUecctbK","slug":"audio-voices-numeric-interval-filter-date-by-category-pivot-96d2f682","name":"Audio Voices Numeric Interval Filter + Date by Category Pivot","description":"Audio voices — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot 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-10-133?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},"field":{"enum":["active_voices","audio_cpu_ms"],"type":"string","default":"active_voices"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_ibYFcjE2EIihPLNisLunw","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":"Filters audio voice records by a numeric range on a chosen field and produces a date-by-game-area pivot table, returning two analytical reports from caller-supplied data.","exampleAgentPrompt":"I have up to 200 rows of audio voice logs with fields for date, game_area, active_voices, and audio_cpu_ms — can you run two reports: first filter rows where active_voices is between 5 and 40, and second pivot active_voices by date and game_area?","exampleUseCases":[{"title":"Game audio CPU budget analysis","prompt":"Here are 150 rows of audio profiling data with game_area, date, active_voices, and audio_cpu_ms — filter down to only the rows where audio_cpu_ms is between 200 and 800, and also give me a pivot of audio_cpu_ms broken out by date and game_area so I can see which areas are over budget."},{"title":"Active voice count trend by zone","prompt":"I've got daily audio voice records across several game areas for October 2026 — please filter to rows where active_voices is between 10 and 30 and pivot the active_voices field by date and game_area so I can spot trends."},{"title":"Outlier-free audio performance summary","prompt":"Can you analyze these audio session records and filter out any rows where audio_cpu_ms falls outside the range of 0 to 500, then show me a date-by-game-area pivot of the audio_cpu_ms values that remain?"}],"resultDescription":"Two analytical reports: (1) rows from the supplied dataset whose chosen numeric field (active_voices or audio_cpu_ms) falls within the specified minimum–maximum interval; (2) a pivot table cross-tabulating the same field by date and game_area category. Up to 200 input rows supported per call.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required row fields (row_id, date, game_area) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","minimum greater than maximum — may return empty filtered set","Unsupported field value outside enum [active_voices, audio_cpu_ms] — schema rejection","Payment not included or insufficient USDC — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have already collected audio voice telemetry records (active_voices, audio_cpu_ms) tagged by game_area and date, and need both a numeric range filter and a date-by-category pivot in one cheap call. It operates purely on caller-supplied data with no external lookups, making it fast, deterministic, and privacy-safe. It is ideal for game audio performance analysis workflows where the data is local and you want two analytical views simultaneously for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:34.067Z","isFirstParty":false,"canonicalSlug":"audio-voices-numeric-interval-filter-date-by-category-pivot-96d2f682"}