{"uid":"cap_bScvpNgIzIzzk4llnBojx","slug":"save-files-analytics-two-measure-correlation-secondary-measure-6c7ad94e","name":"Save Files Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean","description":"Save files — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + 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-13-181?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_ZHAz9YL5d6ss-OcJFwmNG","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 the Pearson correlation between save_kb and write_ms, plus the weighted mean of the secondary measure, across up to 200 save-file records grouped by game area.","exampleAgentPrompt":"I have save file records for my game — can you run a two-measure correlation between save_kb and write_ms, plus the weighted mean of write_ms, for these rows: 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? Use write_ms as the secondary field.","exampleUseCases":[{"title":"Game save performance correlation study","prompt":"I've collected 50 save file records across two game zones — can you compute the correlation between save file size in KB and write time in milliseconds, and also give me the weighted mean of write_ms? Here are the rows with row_id, date, game_area, save_kb, and write_ms fields."},{"title":"Comparing write latency across game areas","prompt":"I want to understand whether larger save files take longer to write in my RPG. Please run a two-measure correlation on save_kb vs write_ms and give me the weighted mean of save_kb as the secondary measure for these 80 game save records I'm providing."},{"title":"QA audit of save system performance","prompt":"As part of our QA process, I need a statistical correlation report between save_kb and write_ms across these 120 save file entries from our latest build, grouped by game_area — and include the weighted mean of write_ms."}],"resultDescription":"Returns two analytical reports: (1) the Pearson correlation coefficient between save_kb and write_ms across the supplied rows, and (2) the weighted mean of the designated secondary measure (save_kb or write_ms). Results are computed locally on supplied data with no external lookups, covering up to 200 rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","All values for one measure are null — correlation cannot be computed","field enum value not one of 'save_kb' or 'write_ms' causes rejection","Payment of 0.01 USDC not provided — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need both a two-measure correlation and a weighted mean for save file performance data (save_kb and write_ms) in a single $0.01 call. Ideal for game developers auditing save system performance, QA engineers analyzing write latency trends, or analysts exploring size-vs-speed relationships in game save data. Prefer over generic stats tools when you need the two specific reports (correlation + weighted mean) bundled together against row-level game save records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:40.656Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-two-measure-correlation-secondary-measure-6c7ad94e"}