{"uid":"cap_7FzVsUiPuRam6BqgKJXgP","slug":"save-files-iqr-outlier-flags-two-measure-correlation-e384e22e","name":"Save Files IQR Outlier Flags + Two-Measure Correlation","description":"Save files — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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-13-176?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_X3aQnOKclTH8yGpIbWyPu","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":"Runs IQR-based outlier detection and two-measure correlation analysis on supplied game save-file records (save_kb, write_ms) for up to 200 rows.","exampleAgentPrompt":"Can you run IQR outlier detection and a two-measure correlation report on my game save file data? I have rows with save_kb and write_ms values across game areas like 'zone-1' and 'zone-2' — use save_kb as the primary field and check up to 200 rows.","exampleUseCases":[{"title":"Outlier detection in save file sizes","prompt":"I have a dataset of game save records with save sizes in kilobytes and write times in milliseconds. Can you flag any outlier save_kb values using IQR and also show me how save_kb correlates with write_ms across my rows?"},{"title":"Write latency anomaly investigation","prompt":"Some of my game areas seem to have unusually high write times. Can you run IQR outlier flagging on write_ms and correlate it against save_kb for my save file records so I can see what's off?"},{"title":"Cross-area save performance comparison","prompt":"I want to analyze save file performance across different game areas — can you detect IQR outliers in save_kb and give me a two-measure correlation between save_kb and write_ms for these 150 save file rows I'm providing?"}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have anomalous save_kb or write_ms values relative to the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between save_kb and write_ms across the supplied rows. No external data or predictions are included.","failureModes":["Input array is empty or missing required fields (row_id, game_area, date, save_kb, write_ms)","More than 200 rows submitted — exceeds maximum limit","Date values not matching YYYY-MM-DD pattern","Numeric values out of accepted range (beyond ±1,000,000,000,000)","Insufficient non-null numeric data to compute meaningful IQR or correlation statistics"],"whenToPreferThis":"Choose this endpoint when you have tabular game save-file records with save size (save_kb) and write time (write_ms) measurements and need both outlier detection and correlation analysis in a single low-cost call. It is purpose-built for this specific domain and field combination, processes up to 200 rows locally without external lookups, and delivers two distinct statistical reports for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:36.128Z","isFirstParty":false,"canonicalSlug":"save-files-iqr-outlier-flags-two-measure-correlation-e384e22e"}