{"uid":"cap_EtyJM90dJ6CsYk0Cr_Fv7","slug":"save-files-analytics-numeric-row-ordering-secondary-measure-weighted-deb272fe","name":"Save Files Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Save files — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + 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-13-121?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_fTdnfyZjQsgdkcNu6KyW4","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":"Ranks save file records by a primary numeric field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows of game save data.","exampleAgentPrompt":"I have 4 save file records from my game: row-1 on 2026-10-01 in group-a with save_kb=10 and write_ms=1, row-2 on 2026-10-02 in group-b with save_kb=20 and write_ms=2, row-3 on 2026-10-03 in group-a with save_kb=15 and write_ms=3, and row-4 on 2026-10-04 in group-b with save_kb=30 and write_ms=4 — can you rank these rows by save_kb and compute the write_ms weighted mean across them?","exampleUseCases":[{"title":"Game save size performance ranking","prompt":"I've got 50 save file records from our game with fields like save_kb, write_ms, game_area, and date — can you rank them numerically by save_kb and tell me the write_ms weighted mean across all of them?"},{"title":"Comparing write speed across game areas","prompt":"Here are 120 rows of save file data for two game regions, group-a and group-b, each with save_kb and write_ms values — please order them by write_ms and compute the save_kb weighted mean so I can see which region is heavier."},{"title":"QA check on recent save file performance","prompt":"We logged 30 save file events from last week's build, each with a date, row_id, game_area, save_kb, and write_ms — run numeric row ordering on save_kb and give me the write_ms weighted mean so I can spot any outliers."}],"resultDescription":"Two analytical reports: (1) the input rows reordered numerically by the chosen primary field (save_kb or write_ms), and (2) a weighted mean of the secondary measure weighted by the primary measure, computed locally without external lookups. Results cover up to 200 supplied rows.","failureModes":["Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation error","More than 200 rows submitted exceeds the row limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in both save_kb and write_ms may produce undefined weighted mean","Payment of 0.01 USDC not included or declined blocks the request"],"whenToPreferThis":"Choose this endpoint when you have game save file records with kilobyte size and write latency fields and need both a numerically ordered ranking and a weighted mean statistic in a single low-cost call. It is purpose-built for save file analytics with shared local engines and requires no external data sources, making it suitable for offline or batch analytical pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:57.286Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-numeric-row-ordering-secondary-measure-weighted-deb272fe"}