{"uid":"cap_roj9B38VgYwAJf6FvmY7q","slug":"save-files-analytics-numeric-interval-filter-trailing-mean-series-96a18d24","name":"Save Files Analytics — Numeric Interval Filter + Trailing Mean Series","description":"Save files — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series 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-13-126?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_Xl0o-LH3BLkTOd1v_9CJs","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":"Filters save file records by a numeric range and computes a trailing moving average series for save_kb or write_ms fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 game save records with save_kb and write_ms columns — can you filter them to only rows where save_kb is between 10 and 500, and then compute a trailing mean with a window of 5 over save_kb so I can see the smoothed trend?","exampleUseCases":[{"title":"Detecting save size bloat over time","prompt":"Here are 120 daily save file records for our RPG — filter to rows where save_kb is between 50 and 800, then give me a trailing mean with a window of 7 over save_kb so I can see if save sizes are trending upward."},{"title":"Monitoring write latency spikes in game areas","prompt":"I've got save logs for two game areas over the past three months — can you filter to write_ms values between 0 and 300, then compute a 10-row trailing mean on write_ms to smooth out any noisy spikes?"},{"title":"Validating save performance after a patch","prompt":"After our latest patch, I want to check save performance — here are 80 save records, please filter to save_kb between 100 and 1000 and run a trailing mean with window size 4 on save_kb so I can compare before and after trends."}],"resultDescription":"Returns two analytical reports: (1) rows from the input dataset whose selected field (save_kb or write_ms) falls within the specified minimum–maximum interval, and (2) a trailing mean time series computed over the selected field using the specified window size. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Window size larger than number of rows — trailing mean may produce sparse or empty results","Invalid date format (not YYYY-MM-DD) — validation error","Field value outside allowed numeric range — schema rejection","Missing required fields (row_id, game_area, date, save_kb, write_ms) — validation error","Minimum greater than maximum — may return empty filtered set"],"whenToPreferThis":"Choose this endpoint when you have game save file records with save_kb and write_ms metrics and need both a numeric range filter and a smoothed rolling average series in a single low-cost call. Ideal for game performance monitoring, patch comparison, and save size trend analysis on datasets up to 200 rows. Not suitable for external data lookups, predictions, or real-time streaming data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-06T00:34:03.951Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-numeric-interval-filter-trailing-mean-series-96a18d24"}