{"uid":"cap_lrLy0IZQ9SeTwDKVJCCS_","slug":"save-files-analyzer-category-frequencies-numeric-row-ordering-2808fdda","name":"Save Files Analyzer — Category Frequencies & Numeric Row Ordering","description":"Save files — Category frequencies + Numeric row ordering: Category frequencies + 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-13-100?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_v0IwnXxiPzGuw_iXArINQ","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 game save file records by computing category frequencies for game areas and numeric row ordering for save_kb or write_ms fields, returning two local analytical reports.","exampleAgentPrompt":"Analyze these save file records — I have rows with row_id, date, game_area, save_kb, and write_ms fields — and give me the category frequency breakdown by game_area plus a numeric row ordering by save_kb. Here are up to 200 rows of data.","exampleUseCases":[{"title":"Save size ranking by game area","prompt":"I have a list of game save records with areas like 'dungeon', 'overworld', and 'menu', each with a save_kb value. Can you rank the rows by save_kb and tell me how often each game area appears in the dataset?"},{"title":"Write performance audit","prompt":"I've got 150 save file log entries with write_ms timings per game area. Show me the category frequency for each game_area and order the rows from slowest to fastest by write_ms."},{"title":"Save data QA for game build","prompt":"Here are our QA save file records from the last sprint — each row has a date, game_area, save_kb, and write_ms. Give me the frequency count per game_area and sort the rows numerically by save_kb so I can spot outliers."}],"resultDescription":"Returns two reports: (1) a category frequency table counting how many rows belong to each game_area value, and (2) a numeric row ordering of records sorted by the selected field (save_kb or write_ms), covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, game_area, date, save_kb, write_ms) — validation error","Invalid date format (not YYYY-MM-DD) — pattern mismatch error","Numeric values outside allowed range — schema rejection","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Use this endpoint when you need a quick, offline analytical summary of game save file records — specifically category frequency counts by game area and numeric ordering of rows by a save metric — without needing live lookups, predictions, or external data enrichment. Best suited for batch QA, debugging save performance, or summarizing save data distributions across up to 200 records for $0.01.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:44.443Z","isFirstParty":false,"canonicalSlug":"save-files-analyzer-category-frequencies-numeric-row-ordering-2808fdda"}