{"uid":"cap_UfigczMjlsXv8ree_NCWc","slug":"save-files-analytics-secondary-measure-weighted-mean-explicit-missing-3af4b7a8","name":"Save Files Analytics — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill","description":"Save files — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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-13-187?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_cfcJ_uAIx23YU-eqRbF6y","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":"Computes a secondary-measure weighted mean and fills missing values in save-file records (save_kb, write_ms) for up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you calculate the secondary-measure weighted mean and fill any missing values using median for these game save records — I have up to 50 rows with save_kb and write_ms fields across different game areas, and I want two analytical reports back?","exampleUseCases":[{"title":"Game save performance benchmarking","prompt":"I have 120 rows of save file data with save_kb and write_ms across different game areas. Can you compute the weighted mean of save_kb, filling any null values with the mean, and give me two analytical reports?"},{"title":"Missing write-time data imputation","prompt":"My game telemetry dataset has some missing write_ms values across 80 save records from multiple game areas. Fill the gaps using median imputation and give me a weighted mean report on write_ms."},{"title":"Save size aggregation by game area","prompt":"I've got a batch of 200 game save records tagged by game_area with save_kb and write_ms columns — some have nulls. Run a secondary-measure weighted mean on save_kb with zero fill for missing values and produce both analytical reports."}],"resultDescription":"Returns 2 analytical reports: (1) a secondary-measure weighted mean of the chosen field (save_kb or write_ms) across supplied rows, and (2) an explicit missing-value fill report showing how null entries were handled using the selected method (zero, mean, or median). Results are computed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation error","Invalid date format (must match YYYY-MM-DD pattern)","All values for selected field are null — weighted mean undefined","Invalid enum value for 'field' or 'method' parameter"],"whenToPreferThis":"Choose this endpoint when you have tabular game save-file records (save_kb, write_ms) and need both weighted mean aggregation weighted by a secondary measure AND explicit missing-value imputation in a single low-cost call. Ideal for small-to-medium datasets (up to 200 rows) where no live data lookup or external prediction is needed — purely local statistical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:19.511Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-secondary-measure-weighted-mean-explicit-missing-3af4b7a8"}