{"uid":"cap_VdRMism1q9dfyiPzcNeAF","slug":"save-files-analytics-numeric-row-ordering-explicit-missing-value-fill-407e7b60","name":"Save Files Analytics — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Save files — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill 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-13-124?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Is7vQhdxq_67cgndArhAD","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":"Sorts save file records by date and fills missing numeric values (save_kb, write_ms) using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Sort my game save file records by date and fill in any missing save_kb values using median imputation — I have about 50 rows across two game areas (group-a and group-b) with dates from October 2026, and I want both analytical reports.","exampleUseCases":[{"title":"Game save size trend cleanup","prompt":"I have 120 rows of game save file data from Q4 2026 with some null save_kb entries — can you sort them chronologically and fill the missing save sizes using mean imputation so I can analyze the trend across group-a and group-b?"},{"title":"Write performance gap filling","prompt":"My write_ms records for game save files have several missing entries across multiple game areas. Sort the rows by date and fill those gaps with zero so I get clean, ordered data — I have around 80 rows total."},{"title":"Pre-analysis save data preparation","prompt":"Before I analyze my game's save behavior, I need my 60-row dataset ordered by date and any missing save_kb or write_ms values filled using median. The rows cover group-a through group-d areas, can you run both reports?"}],"resultDescription":"Returns two analytical reports on the submitted save file records: one showing rows sorted numerically by date order, and one showing the target numeric field (save_kb or write_ms) with missing values explicitly filled using the chosen method (zero, mean, or median). Covers up to 200 input rows.","failureModes":["Submitting more than 200 rows returns an error — batch must be split","Invalid date format (not YYYY-MM-DD) causes row rejection","Missing required fields (row_id, game_area, date) causes validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array returns an error — at least 1 row required","Invalid enum values for field or method parameters cause request failure"],"whenToPreferThis":"Use this endpoint when you have game save file records with missing numeric values (save_kb, write_ms) and need both chronological ordering and systematic null imputation in a single call. It is purpose-built for game save analytics data with up to 200 rows and provides two complementary reports at low cost. Prefer this over general data tools when your data specifically contains save_kb and write_ms fields organized by game_area and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:51.141Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-numeric-row-ordering-explicit-missing-value-fill-407e7b60"}