{"uid":"cap_BUyjeRWKhp8-K-h39vJfO","slug":"save-files-analyzer-numeric-distribution-row-ordering-8dc6754e","name":"Save Files Analyzer — Numeric Distribution & Row Ordering","description":"Save files — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-13-073?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_IIFxK0ivLYxZTk-j4a7Wm","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 (save_kb, write_ms) to produce numeric distribution statistics and row ordering reports for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and row ordering analysis on these game save records — I've got up to 50 rows with fields like row_id, game_area, date, save_kb, and write_ms — and I want the report focused on save_kb?","exampleUseCases":[{"title":"Game save size distribution audit","prompt":"I have a list of 80 game save records with row IDs, dates, game areas, and their save sizes in KB. Can you give me a numeric distribution and ordering report focused on the save_kb values so I can see how save sizes are spread out?"},{"title":"Write performance ranking across game areas","prompt":"I've got 120 rows of game save data including write times in milliseconds for different game areas. Can you analyze the numeric distribution of write_ms and rank the rows by their write time values?"},{"title":"Comparing save file metrics across two groups","prompt":"Here are 40 save file records split between group-a and group-b, each with a date, save_kb, and write_ms. Run the numeric distribution and row ordering analysis on the save_kb field so I can compare file sizes between the two groups."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution breakdown showing how save_kb or write_ms values are spread across the supplied rows, and (2) a row ordering report ranking records by the selected numeric field. Both reports are computed locally from the supplied data, covering up to 200 rows per call.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Missing required fields (row_id, game_area, date, save_kb, write_ms) on any row — validation error","Date field not matching YYYY-MM-DD pattern — parsing error","Numeric field values outside allowed range (-1T to +1T) — validation error","Invalid field selector (not 'save_kb' or 'write_ms') — enum validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of game save file metrics — specifically numeric distribution and ordered ranking — on a batch of up to 200 records. It is ideal when you already have the data and need two complementary analytical views (distribution + ordering) in a single low-cost call without any external lookups or live data requirements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:49:00.356Z","isFirstParty":false,"canonicalSlug":"save-files-analyzer-numeric-distribution-row-ordering-8dc6754e"}