{"uid":"cap_j4fL1D3mmokxFKgtQT8D2","slug":"save-files-analytics-numeric-row-ordering-trailing-mean-series-7a12c1ba","name":"Save Files Analytics — Numeric Row Ordering + Trailing Mean Series","description":"Save files — Numeric row ordering + Trailing mean series: Numeric row ordering + 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-13-115?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}}},"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_lQOhz9fRYwSoqZHIzA1HT","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":"Analyzes save file metrics (save_kb, write_ms) by computing numeric row ordering and trailing mean series for up to 200 supplied rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you analyze these 4 game save records and give me numeric row ordering plus a trailing mean series for save_kb with a window of 2? The records are: row-1 on 2026-10-01 for group-a with save_kb=10 and write_ms=1, row-2 on 2026-10-02 for group-b with save_kb=20 and write_ms=2, row-3 on 2026-10-03 for group-a with save_kb=15 and write_ms=3, row-4 on 2026-10-04 for group-b with save_kb=30 and write_ms=4.","exampleUseCases":[{"title":"Rolling average of save file sizes","prompt":"I have 10 game save records with dates, save sizes in KB, and write times in milliseconds — can you compute the numeric row ordering and a trailing mean for save_kb using a window of 3?"},{"title":"Write latency trend analysis for game areas","prompt":"Can you rank these 50 save file records by row and calculate a rolling mean of write_ms with a window size of 5 so I can see if write latency is trending up across game areas?"},{"title":"Session save performance comparison","prompt":"I want to compare save performance across two game areas — run numeric ordering and a trailing mean series on write_ms with a window of 4 across these 20 save session records."}],"resultDescription":"Two independent analytical reports: (1) a numeric row ordering of the supplied save file rows, and (2) a trailing mean series for the selected field (save_kb or write_ms) computed with the specified sliding window size. Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum limit","Invalid date format (must be YYYY-MM-DD) — validation error","Window size larger than number of rows — trailing mean may be undefined for early rows","Missing required fields (row_id, game_area, date) — schema validation failure","Numeric field values outside ±1,000,000,000,000 range — rejected"],"whenToPreferThis":"Choose this endpoint when you have save file performance records (save_kb, write_ms) and need both a ranked/ordered view of the data and a smoothed rolling average trend in a single call for under 200 rows. It is ideal for game developers or analysts who want offline statistical summaries without external data dependencies, predictions, or professional assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:53:50.082Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-numeric-row-ordering-trailing-mean-series-7a12c1ba"}