{"uid":"cap_h9RBopegrP1usYuz8fchO","slug":"save-files-analytics-exact-row-deduplication-grouped-numeric-summary-59c18390","name":"Save Files Analytics — Exact Row Deduplication + Grouped Numeric Summary","description":"Save files — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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-13-040?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_DRnFa1fYEwo_rA4HXBvGQ","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":"Deduplicates exact rows and produces a grouped numeric summary for game save-file records (save_kb, write_ms) across up to 200 rows.","exampleAgentPrompt":"I have a list of game save file records with save sizes in KB and write times in milliseconds across different game areas — can you deduplicate exact duplicate rows and give me a grouped numeric summary by game_area for save_kb? Here are up to 200 rows with fields row_id, game_area, date, save_kb, and write_ms.","exampleUseCases":[{"title":"Deduplicating game save logs","prompt":"I have a CSV export of game save events with row_id, game_area, date, save_kb, and write_ms — some rows are exact duplicates from a logging bug. Can you remove the exact duplicates and give me a grouped numeric summary of save_kb by game_area?"},{"title":"Comparing write speed across game zones","prompt":"I want to understand write performance across different game areas. Here are 150 save file records with row_id, game_area, date, save_kb, and write_ms — please deduplicate any exact repeats and give me a grouped numeric summary for write_ms by game_area."},{"title":"Auditing save file size by area","prompt":"Can you take these game save records — up to 200 rows each with a row_id, game_area, date, save_kb, and write_ms — deduplicate any identical rows, then summarize save_kb grouped by game_area so I can see which areas have the largest saves?"}],"resultDescription":"Returns two analytical reports: (1) a deduplicated version of the input rows with exact duplicate rows removed, and (2) a grouped numeric summary (e.g. count, mean, min, max) of the selected numeric field (save_kb or write_ms) broken down by game_area. No external lookups or predictions are made; all analysis is performed locally on the supplied data.","failureModes":["Input array is empty or missing required fields (row_id, game_area, date, save_kb, write_ms) — returns validation error","More than 200 rows submitted — request rejected with row limit error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field selector not one of 'save_kb' or 'write_ms' — enum validation error","All rows are duplicates — deduplication report returns a single unique row","Numeric fields contain nulls — summary may return null statistics for affected groups"],"whenToPreferThis":"Choose this endpoint when you have game save file records with save_kb and write_ms metrics and need both exact-duplicate removal and a grouped numeric summary in a single call. It is best suited for small-to-medium datasets (up to 200 rows) where offline, local analytical processing is sufficient and no live lookup, prediction, or external enrichment is needed. Prefer it over general-purpose analytics tools when you specifically need the save-file domain schema (row_id, game_area, date, save_kb, write_ms) and want both reports bundled at a flat $0.01 USDC rate.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:49:02.847Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-exact-row-deduplication-grouped-numeric-summary-59c18390"}