{"uid":"cap_gG7-ZbNaaZm5xhkeDt0Ai","slug":"save-files-analytics-weighted-mean-date-by-category-pivot-2ee63f7b","name":"Save Files Analytics — Weighted Mean & Date-by-Category Pivot","description":"Save files — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + Date by category pivot 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-13-185?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_dDVs64cqOXjylrk7uS7ii","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 a date-by-category pivot table for save file records (save_kb, write_ms) supplied by the caller.","exampleAgentPrompt":"Can you run a weighted mean and date-by-category pivot on these save file records — I have rows with save_kb and write_ms values across game areas like 'zone-a' and 'zone-b', and I want save_kb as the analysis field?","exampleUseCases":[{"title":"Game save performance breakdown by area","prompt":"I have 50 rows of save file data from our game — each row has a game_area, a date, save_kb, and write_ms. Can you pivot them by date and game area and also give me the weighted mean of save_kb?"},{"title":"Write latency analysis across game zones","prompt":"Run the weighted mean report on write_ms for my save file records — I've got rows tagged with game areas like 'dungeon', 'overworld', and 'hub', and dates ranging from 2026-10-01 to 2026-10-30. Use write_ms as the field."},{"title":"QA check on save file size trends","prompt":"I need two reports on my save file dataset: a weighted mean of save_kb and a pivot of save sizes by date and category. Here are about 120 rows with row_id, game_area, date, save_kb, and write_ms."}],"resultDescription":"Returns two analytical reports computed on the supplied save file rows: (1) a secondary-measure weighted mean for the chosen field (save_kb or write_ms), and (2) a date-by-category pivot table breaking down values by date and game_area. Up to 200 rows processed per call.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, game_area, date, save_kb, write_ms) — validation error","Date values not matching YYYY-MM-DD pattern — schema validation failure","Null values in both save_kb and write_ms making weighted mean undefined","Invalid enum value for field parameter — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular save file records with save_kb and write_ms measurements tagged by game_area and date, and you need both a weighted mean summary and a date-by-category pivot in a single low-cost call. Ideal for game analytics pipelines that process up to 200 save file rows and need offline, local statistical analysis without any external data lookup.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-06T00:34:23.250Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-weighted-mean-date-by-category-pivot-2ee63f7b"}