{"uid":"cap__VjltqVrBczRnP3A5Lr9O","slug":"save-files-analytics-string-normalisation-daily-sum-series-3984fe4d","name":"Save Files Analytics — String Normalisation + Daily Sum Series","description":"Save files — String normalisation + Daily sum series: String normalisation + Daily sum series 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-13-027?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_T6sFZvE2qPdnydToO5zs_","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":"Runs two local analytical reports (string normalisation and daily sum series) on up to 200 save-file records containing save_kb and write_ms metrics.","exampleAgentPrompt":"Can you run string normalisation and a daily sum series on my save file records for save_kb? I have rows like: 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.","exampleUseCases":[{"title":"Daily save size totals per date","prompt":"I have 50 save file records from my game with dates, game areas, save sizes in KB and write times in ms — can you compute the daily total save_kb across all those rows and also normalize the game area strings?"},{"title":"Write latency daily aggregation","prompt":"Run a daily sum series on write_ms for these game save records and normalize the game area labels — I want to see total write milliseconds summed per date across up to 150 rows."},{"title":"Game area string cleanup with totals","prompt":"My save file dataset has inconsistent game area strings and I need both a normalised version of those strings and a daily sum of save_kb over about 80 rows spanning October 2026 — can you run both reports?"}],"resultDescription":"Two analytical reports: (1) string normalisation output for the game_area field across all supplied rows, and (2) a daily sum series for the selected numeric field (save_kb or write_ms) aggregated by date. No external lookups, predictions, or live data — purely computed from the supplied rows.","failureModes":["More than 200 rows supplied — request exceeds maxItems limit","Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row causes validation failure","Invalid date format (must match YYYY-MM-DD pattern)","Numeric values outside allowed range (-1e12 to 1e12) rejected","Invalid field enum value (must be 'save_kb' or 'write_ms')","Payment of 0.01 USDC not included or declined"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of categorical labels and a daily sum time series computed locally on save-file telemetry data (save_kb, write_ms) in a single low-cost call. Ideal for game developers or analytics pipelines needing lightweight offline aggregation on up to 200 rows without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:39.015Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-string-normalisation-daily-sum-series-3984fe4d"}