{"uid":"cap_HiXScZpePddpohDhyF3yJ","slug":"save-files-analytics-weighted-mean-keyed-dataset-comparison-59034884","name":"Save Files Analytics: Weighted Mean + Keyed Dataset Comparison","description":"Save files — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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-13-186?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"save_kb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"write_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","save_kb":10,"write_ms":1,"game_area":"group-a"},{"date":"2026-10-02","row_id":"row-2","save_kb":20,"write_ms":2,"game_area":"group-b"},{"date":"2026-10-03","row_id":"row-3","save_kb":15,"write_ms":3,"game_area":"group-a"},{"date":"2026-10-04","row_id":"row-4","save_kb":30,"write_ms":4,"game_area":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["save_kb","write_ms"],"type":"string","default":"save_kb"},"other":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","save_kb","write_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"write_ms":2,"game_area":"group-b"},{"date":"2026-10-03","row_id":"row-3","save_kb":17,"write_ms":3,"game_area":"group-a"},{"date":"2026-10-04","row_id":"row-4","save_kb":33,"write_ms":4,"game_area":"group-b"}],"maxItems":200,"minItems":0}}},"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_VUxAj-2T_F6F2bymbOrP2","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 compares two keyed save-file datasets (save_kb, write_ms) across game areas, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of game save file records (up to 200 rows each, with save_kb and write_ms per game_area and date) — can you compute the weighted mean of save_kb using write_ms as the secondary measure, and also run a keyed comparison between the two datasets to see where they differ?","exampleUseCases":[{"title":"Save size regression between game builds","prompt":"I've got save file records from two different game builds — each row has a game_area, date, save_kb, and write_ms. Run a weighted mean of save_kb and a keyed comparison between the two builds so I can see if save sizes changed between versions."},{"title":"Write latency analysis across game areas","prompt":"Here are my save file logs from the last sprint, split into two groups. Compute the weighted mean of write_ms using save_kb as the secondary weight, and compare the two datasets by row key so I can spot any game_area outliers."},{"title":"QA check on save file performance delta","prompt":"I want to QA two snapshots of save file data — primary and comparison sets, up to 150 rows each with save_kb and write_ms. Give me the weighted mean report on write_ms and flag which keyed rows differ between the two snapshots."}],"resultDescription":"Returns two reports: (1) a secondary-measure weighted mean of the selected field (save_kb or write_ms) across all supplied rows, weighted by the other measure, and (2) a keyed dataset comparison highlighting matching, differing, and unmatched rows between the primary and secondary input datasets, segmented by game_area.","failureModes":["Fewer than 1 row provided — validation error","More than 200 rows supplied — request rejected","Missing required fields (row_id, game_area, date, save_kb, write_ms) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Null values in both save_kb and write_ms for a row may produce undefined weighted mean","Duplicate row_ids may produce ambiguous keyed comparison results"],"whenToPreferThis":"Choose this endpoint when you need both a weighted mean computation and a keyed row-level comparison between two save file datasets in a single call, specifically for game save performance data (save_kb and write_ms). It is purpose-built for game analytics workflows where you want to compare two snapshots or builds without external lookups or predictions — ideal for lightweight, offline analytical reporting at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:49.649Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-weighted-mean-keyed-dataset-comparison-59034884"}