{"uid":"cap_VOh82CLI_JrffZbfhHtSX","slug":"save-files-analytics-adjacent-row-changes-two-measure-correlation-176d6ea4","name":"Save Files Analytics — Adjacent Row Changes + Two-Measure Correlation","description":"Save files — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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-13-158?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_vH2qsrHzjJLPXA-PWEvF0","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 records to produce two reports: adjacent row changes for a chosen metric and two-measure correlation between save_kb and write_ms.","exampleAgentPrompt":"Can you analyze these game save records and give me both an adjacent row changes report for save_kb and a correlation between save_kb and write_ms? I have about 50 rows with fields for row_id, game_area, date, save_kb, and write_ms.","exampleUseCases":[{"title":"Game save performance regression check","prompt":"I have 80 rows of daily save file data from my game — each row has a row_id, game_area, date, save_kb, and write_ms. Can you compute how save_kb changes between adjacent rows and also show me how save_kb correlates with write_ms?"},{"title":"Detecting write time spikes across game areas","prompt":"Here are 120 game save records with save_kb and write_ms values across different game areas. Run an adjacent row change analysis on write_ms and also correlate write_ms against save_kb so I can see if larger saves are causing write slowdowns."},{"title":"Validating save file optimization after patch","prompt":"We just shipped a patch to optimize save file sizes. I have 60 before-and-after save records with row_id, date, game_area, save_kb, and write_ms. Can you show me adjacent row changes in save_kb and the correlation between save_kb and write_ms to confirm the optimization worked?"}],"resultDescription":"Two analytical reports returned together: (1) an adjacent row changes report showing the delta between consecutive rows for the selected metric (save_kb or write_ms), and (2) a two-measure correlation report quantifying the statistical relationship between save_kb and write_ms across the supplied rows. Covers up to 200 rows of input data using local analytical engines with no external lookups.","failureModes":["More than 200 rows submitted — request rejected at max item limit","Missing required fields (row_id, game_area, date, save_kb, or write_ms) cause validation errors","Invalid date format not matching YYYY-MM-DD pattern causes schema rejection","Null values in save_kb or write_ms may affect correlation computation quality","Field enum value outside [save_kb, write_ms] causes validation failure","Empty rows array (minItems: 1 not met) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have sequential game save file records and need both a row-to-row change analysis and a correlation between save size and write time in a single $0.01 call. Ideal for game developers monitoring save performance across areas or patches. Prefer this over general-purpose stats tools when your data already conforms to the save_kb/write_ms schema and you want two bundled reports without setting up external analytics infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-06T00:34:12.976Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-adjacent-row-changes-two-measure-correlation-176d6ea4"}