{"uid":"cap_u358aSYwu_jSDRIHh2FM4","slug":"save-files-analytics-base-100-series-two-measure-correlation-5283b17f","name":"Save Files Analytics — Base-100 Series + Two-Measure Correlation","description":"Save files — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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-13-165?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":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_03e9uauV8di_xU-Eht6zG","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 Base-100 indexed time series and a two-measure Pearson correlation report for game save-file metrics (save_kb and write_ms) from up to 200 supplied rows.","exampleAgentPrompt":"Using my game save file records, index save_kb to a base of 100 starting from row 0 and also give me the two-measure correlation between save_kb and write_ms — here are my rows: [{\"row_id\":\"r1\",\"game_area\":\"zone-a\",\"date\":\"2025-01-01\",\"save_kb\":512,\"write_ms\":120},{\"row_id\":\"r2\",\"game_area\":\"zone-b\",\"date\":\"2025-01-02\",\"save_kb\":640,\"write_ms\":145}].","exampleUseCases":[{"title":"Tracking save file size growth over time","prompt":"I have 90 daily save file records across two game areas. Can you index save_kb to base 100 starting from row 0 and show me how file size grew relative to that baseline, plus the correlation between save_kb and write_ms?"},{"title":"Diagnosing write performance vs file size","prompt":"I want to know if larger save files cause slower write times in my game. Here are 50 rows of save_kb and write_ms data — can you run a two-measure correlation and give me a base-100 series for write_ms starting from row 5?"},{"title":"Cross-area save metric comparison","prompt":"I've got save file logs from three game areas over 30 days. Please compute a base-100 index on save_kb anchored at row 0 and also tell me how strongly save_kb and write_ms are correlated across all the records."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 indexed series showing the selected field's values normalized relative to the chosen base row, and (2) a two-measure correlation report quantifying the statistical relationship between save_kb and write_ms across the supplied rows (up to 200).","failureModes":["Fewer than 1 row supplied — rejected by minItems validation","More than 200 rows supplied — rejected by maxItems constraint","base_index references a row index outside the actual row count — may produce error or undefined behavior","Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row — schema validation failure","Date strings not matching YYYY-MM-DD pattern — rejected by pattern validation","Non-numeric or out-of-range values for save_kb or write_ms — rejected by schema bounds","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have tabular game save-file records with both a size metric (save_kb) and a write-duration metric (write_ms) and need both a normalized time-indexed series (Base-100) and a statistical correlation between the two measures in a single low-cost call. Prefer it over general-purpose statistics APIs when your data fits the game-area + date + save_kb + write_ms schema and you want both reports for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:51.745Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-base-100-series-two-measure-correlation-5283b17f"}