{"uid":"cap_2LtkaZNuM2FyZjpiBIIyx","slug":"save-files-analyzer-category-frequencies-secondary-measure-weighted-e250b183","name":"Save Files Analyzer — Category Frequencies + Secondary-Measure Weighted Mean","description":"Save files — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean 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-13-109?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_qk_Lq36VxEBX_Tt8OVrZ_","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 category frequencies and a secondary-measure weighted mean for save file records (save_kb, write_ms) across up to 200 rows using local analytical engines.","exampleAgentPrompt":"Can you analyze my save file records and give me both a category frequency breakdown by game_area and the weighted mean of save_kb (weighted by write_ms)? Here are my rows: row-1 on 2026-10-01 in group-a with save_kb=10 and write_ms=1, row-2 on 2026-10-02 in group-b with save_kb=20 and write_ms=2, row-3 on 2026-10-03 in group-a with save_kb=15 and write_ms=3.","exampleUseCases":[{"title":"Save size distribution by game zone","prompt":"I have 50 save file records across different game areas — can you tell me how frequently each game_area appears and the weighted mean of save_kb using write_ms as the weight? I want to know which zones are saving the most data on average."},{"title":"Write latency weighted average per area","prompt":"Can you run a category frequency count and a write_ms weighted mean on my game save dataset? I'm tracking 120 save events across group-a, group-b, and group-c and want to understand write performance by area."},{"title":"Game save performance audit","prompt":"I've got a batch of game save logs with save_kb and write_ms values — can you compute how many saves fall into each game_area category and what the weighted average save size is, weighted by write time? There are about 80 rows total across dates in October 2026."}],"resultDescription":"Two analytical reports: (1) a category frequency table showing how often each game_area value appears in the submitted rows, and (2) a weighted mean of the selected numeric field (save_kb or write_ms), weighted by the secondary measure. Both are computed locally without external lookups.","failureModes":["Exceeding 200 rows returns an error or truncation","Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation failure","Invalid date format (not YYYY-MM-DD) rejected by schema","Null values for both numeric fields may produce undefined weighted mean","Payment of 0.01 USDC not completed blocks request"],"whenToPreferThis":"Choose this endpoint when you have game save file records with both a categorical dimension (game_area) and two numeric measurements (save_kb, write_ms), and you need both a frequency distribution of categories and a weighted mean statistic in a single low-cost call. Ideal for lightweight game analytics pipelines where no external data enrichment or live lookup is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:51.744Z","isFirstParty":false,"canonicalSlug":"save-files-analyzer-category-frequencies-secondary-measure-weighted-e250b183"}