{"uid":"cap_8wkXyn_QKohbcAtGZ5l05","slug":"save-files-analytics-daily-sum-series-secondary-measure-weighted-mean-b396188a","name":"Save Files Analytics — Daily Sum Series + Secondary-Measure Weighted Mean","description":"Save files — Daily sum series + Secondary-measure weighted mean: Daily sum series + Secondary-measure weighted mean 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-13-142?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_YnTRHs_RwYuACbrgI7EXo","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 daily sum time series for save file sizes and a secondary-measure weighted mean for supplied game save file records, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a daily sum series on save_kb and a save_kb-weighted mean of write_ms for my game save records? Here's the data: row-1 on 2026-10-01 in group-a had save_kb=10 and write_ms=1, row-2 on 2026-10-02 in group-b had save_kb=20 and write_ms=2, row-3 on 2026-10-03 in group-a had save_kb=15 and write_ms=3, and row-4 on 2026-10-04 in group-b had save_kb=30 and write_ms=4.","exampleUseCases":[{"title":"Daily save size trend for game build","prompt":"I have game save records for the past week across two game areas — can you compute the daily sum of save_kb so I can see how total save file size grows each day? Here's the data: row-1 2026-10-01 group-a save_kb=10 write_ms=1, row-2 2026-10-02 group-b save_kb=20 write_ms=2, row-3 2026-10-03 group-a save_kb=15 write_ms=3."},{"title":"Weighted write latency by save volume","prompt":"Using my game save records, calculate the save_kb-weighted mean of write_ms so I know where write time is concentrated relative to data volume — rows are: row-1 2026-10-01 group-a save_kb=10 write_ms=5, row-2 2026-10-02 group-b save_kb=50 write_ms=2, row-3 2026-10-03 group-a save_kb=30 write_ms=8."},{"title":"Cross-area save performance summary","prompt":"I want to compare daily save totals and weighted write speed across group-a and group-b for my game. Can you run both reports on these 4 rows: row-1 2026-10-01 group-a save_kb=12 write_ms=3, row-2 2026-10-02 group-b save_kb=25 write_ms=6, row-3 2026-10-03 group-a save_kb=18 write_ms=4, row-4 2026-10-04 group-b save_kb=40 write_ms=7?"}],"resultDescription":"Two independent analytical reports: (1) a daily sum time series showing total save_kb (or write_ms) aggregated per date, and (2) a weighted mean of the secondary measure using the primary field as weights — both derived locally from up to 200 supplied rows with no external data access.","failureModes":["Fewer than 1 row or more than 200 rows supplied — request rejected","Missing required fields (row_id, game_area, date, save_kb, write_ms) on any row — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Numeric values outside allowed range (±1,000,000,000,000) — schema rejection","Invalid 'field' enum value other than 'save_kb' or 'write_ms' — rejected","Payment of 0.01 USDC not completed — 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular game save file records (up to 200 rows) and need two specific analytical outputs — a daily sum time series plus a weighted mean — without needing live data lookup, predictions, or external integrations. It is cost-effective at $0.01 for both reports simultaneously and ideal for lightweight, local statistical summarization of save performance data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:43:39.845Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-daily-sum-series-secondary-measure-weighted-mean-b396188a"}