{"uid":"cap_J73rJyv98CtZo0OW1gn8c","slug":"save-files-record-quality-audit-missing-value-fill-6706b5d6","name":"Save Files Record Quality Audit + Missing-Value Fill","description":"Save files — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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-13-019?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_VUBrxiQpHbU9WlvDeQPvE","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":"Audits record quality and fills missing values (via zero, mean, or median) for up to 200 game save-file records containing save_kb and write_ms fields, returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of these 4 game save records and fill in any missing save_kb values using median imputation? The rows cover game areas group-a and group-b from October 2026.","exampleUseCases":[{"title":"Game save data quality check","prompt":"I have about 150 game save log entries with save_kb and write_ms fields and some nulls scattered throughout — can you run a quality audit on them and fill in the missing save_kb values using median imputation?"},{"title":"Write latency missing-value fill","prompt":"My game performance dataset has some missing write_ms values across different game areas. Can you audit the record quality and fill those gaps using mean imputation so I can do a clean analysis?"},{"title":"Pre-analysis save file data cleaning","prompt":"Before I run my analysis, I need to check my 80 save file records for quality issues and replace any null save_kb entries with zero — can you generate both the quality audit and the missing-value fill reports?"}],"resultDescription":"Two independent reports: (1) a record quality audit flagging completeness, validity issues, and anomalies across the supplied rows; and (2) an explicit missing-value fill report showing which rows had null values in the target field (save_kb or write_ms) and what values were imputed using the chosen method (zero, mean, or median). No external data is fetched; all analysis uses local engines on the supplied rows only.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) causes row-level validation failure","row_id missing or empty string causes schema rejection","Field value outside allowed numeric range (±1 trillion) triggers validation error","Invalid method enum value (not zero/mean/median) causes request failure","Invalid field enum value (not save_kb/write_ms) causes request failure","Payment of 0.01 USDC not provided — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have game save file records with save_kb and write_ms metrics and need both a data quality audit and systematic missing-value imputation in a single call. It is purpose-built for save file performance data (up to 200 rows) and provides two reports simultaneously for a flat fee. Prefer it over general-purpose data tools when your dataset matches the exact schema (row_id, game_area, date, save_kb, write_ms) and you want controlled imputation with a choice of zero, mean, or median fill strategy.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:50.562Z","isFirstParty":false,"canonicalSlug":"save-files-record-quality-audit-missing-value-fill-6706b5d6"}