{"uid":"cap_tm-IkmdsRgHIFzsTZDAlI","slug":"save-files-grouped-numeric-summary-two-measure-correlation-28235c84","name":"Save Files Grouped Numeric Summary + Two-Measure Correlation","description":"Save files — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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-13-095?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_s0UTMNU6_wi9LCbBYkgcu","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 grouped numeric summary statistics and two-measure correlation analysis for game save file records (save_kb, write_ms) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and correlation analysis on my game save file data — I have 4 rows across game areas group-a and group-b, with save_kb as the primary field, and I want to see both grouped stats and how save_kb and write_ms relate to each other?","exampleUseCases":[{"title":"Game area save size benchmarking","prompt":"I have a dataset of game save records across different game areas and I want to see the grouped numeric summary of save_kb by game_area — can you compute the stats for my 50 rows and also show me the correlation between save_kb and write_ms?"},{"title":"Write latency vs save size analysis","prompt":"For my game save telemetry data with 120 rows, can you group the write_ms values by game_area and also compute the correlation between write_ms and save_kb to see if larger saves take longer to write?"},{"title":"Save file performance audit by region","prompt":"I've got save file records from 4 different game areas over the past month — around 80 rows total — and I need a grouped summary of save_kb plus a two-measure correlation report between save_kb and write_ms. Can you run both reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a grouped numeric summary of the selected measure (save_kb or write_ms) broken down by game_area, including statistics such as count, mean, min, max, and standard deviation per group; and (2) a two-measure correlation report showing the statistical relationship between save_kb and write_ms across the supplied rows. Both reports are computed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit, request rejected","Missing required fields (row_id, game_area, date, save_kb, write_ms) — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Null values in both numeric fields may reduce correlation reliability","Payment not completed — x402 payment required before response"],"whenToPreferThis":"Choose this endpoint when you have game save file records with save_kb and write_ms measurements and need both grouped descriptive statistics by game area AND a correlation analysis between the two measures in a single low-cost call. Ideal for game developers or analysts who want to understand save performance patterns across game areas without setting up their own analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:44.093Z","isFirstParty":false,"canonicalSlug":"save-files-grouped-numeric-summary-two-measure-correlation-28235c84"}