{"uid":"cap_y7rz5nzLuaK6ncQhR11b9","slug":"save-files-iqr-outlier-flags-secondary-measure-weighted-mean-460aee8d","name":"Save Files IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Save files — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied save files records (save_kb, write_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-13-177?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","save_kb","write_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"save_kb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"write_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","save_kb":10,"write_ms":1,"game_area":"group-a"},{"date":"2026-10-02","row_id":"row-2","save_kb":20,"write_ms":2,"game_area":"group-b"},{"date":"2026-10-03","row_id":"row-3","save_kb":15,"write_ms":3,"game_area":"group-a"},{"date":"2026-10-04","row_id":"row-4","save_kb":30,"write_ms":4,"game_area":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["save_kb","write_ms"],"type":"string","default":"save_kb"}}},"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_9yS6S2JBq6wFyrVvEppV3","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":"Analyzes save file records (save_kb, write_ms) to produce IQR-based outlier flags and a secondary-measure weighted mean, returning two statistical reports for up to 200 rows.","exampleAgentPrompt":"Can you analyze these 50 game save records and flag any IQR outliers in save_kb, plus give me the secondary-measure weighted mean? Here are the rows with row_id, game_area, date, save_kb, and write_ms values.","exampleUseCases":[{"title":"Detect bloated save files in game build","prompt":"I have 120 save file records from our latest game build with row IDs, dates, game areas, save sizes in KB, and write times in ms — can you flag which ones are IQR outliers in save_kb and also compute the secondary-measure weighted mean?"},{"title":"Audit write latency anomalies by game area","prompt":"Run an IQR outlier analysis on the write_ms field for these 80 save file records across our game areas, and include the secondary-measure weighted mean so I can see where latency is skewed."},{"title":"QA save performance across game regions","prompt":"I want to QA our save system — here are 200 rows of save file data with save_kb and write_ms per game area and date. Flag any write_ms outliers using IQR and give me the weighted mean report."}],"resultDescription":"Returns two analytical reports: (1) IQR outlier flags indicating which rows have save_kb or write_ms values outside the interquartile range, and (2) a secondary-measure weighted mean computed across the supplied rows — both based solely on the input data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds maximum batch limit","Missing required fields (row_id, game_area, date, save_kb, write_ms) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in both numeric fields may reduce statistical reliability","Payment not included or insufficient USDC — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of game save file records and need both IQR outlier detection and a secondary-measure weighted mean in a single paid call. Ideal for game developers auditing save system performance without needing live prediction, external lookup, or professional assessment — just deterministic local statistical analysis on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:06.254Z","isFirstParty":false,"canonicalSlug":"save-files-iqr-outlier-flags-secondary-measure-weighted-mean-460aee8d"}