{"uid":"cap_JRzUcNKITOY79H2n8xF4z","slug":"save-files-record-quality-audit-and-iqr-outlier-flags-e1ba86d0","name":"Save Files Record Quality Audit and IQR Outlier Flags","description":"Save files — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-13-014?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_9k2Sx1cCGA_5TTh9Ux-XC","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 a record quality audit and IQR-based outlier detection on game save file metrics (save_kb, write_ms) for up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and IQR outlier check on my game save file data? I have 50 rows with row_id, game_area, date, save_kb, and write_ms fields — I want to flag outliers in save_kb specifically.","exampleUseCases":[{"title":"Game save size anomaly detection","prompt":"I have a batch of 120 save file records from our game with columns row_id, game_area, date, save_kb, and write_ms. Can you audit them for data quality issues and flag any IQR outliers in the save_kb field?"},{"title":"Write performance outlier review","prompt":"Check these 80 game save records for data quality problems and flag any rows with outlier write_ms values using IQR analysis — the records include row_id, game_area, date, save_kb, and write_ms."},{"title":"Pre-release save data validation","prompt":"Before we ship, I want to make sure our save file telemetry data is clean. Here are 200 rows with row_id, game_area, date, save_kb, and write_ms — please run a quality audit and IQR outlier detection on save_kb so we can spot any bad data."}],"resultDescription":"Two analytical reports: (1) a record quality audit identifying missing, invalid, or malformed values across the supplied rows, and (2) IQR-based outlier flags marking rows where the selected numeric field (save_kb or write_ms) falls outside the interquartile range bounds.","failureModes":["Fewer than 1 row supplied returns an error","More than 200 rows submitted exceeds the limit","Invalid date format (not YYYY-MM-DD) causes validation failure","Missing required fields (row_id, game_area, date, save_kb, write_ms) triggers schema rejection","Non-numeric values in save_kb or write_ms where numbers are expected may cause computation errors","Invalid field enum value other than save_kb or write_ms returns an error"],"whenToPreferThis":"Choose this endpoint when you have game save file records with save_kb and write_ms metrics and need both a general data quality audit and statistical outlier detection in a single call. It is purpose-built for game save file telemetry data with up to 200 rows and costs $0.01 USDC for both reports together. Prefer alternatives if you need live lookups, predictive analytics, or processing more than 200 rows at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:51.484Z","isFirstParty":false,"canonicalSlug":"save-files-record-quality-audit-and-iqr-outlier-flags-e1ba86d0"}