{"uid":"cap_QAL3ymyFzLq_t3thx9igG","slug":"save-files-exact-row-deduplication-numeric-interval-filter-a7724ef3","name":"Save Files — Exact Row Deduplication + Numeric Interval Filter","description":"Save files — Exact row deduplication + Numeric interval filter: Exact row deduplication + Numeric interval filter 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-13-043?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_ukeLSC7GxUS84R2TPTqBB","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 save-file records exactly by row and filters them by a numeric interval on save_kb or write_ms, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Deduplicate my save file records and filter to only rows where save_kb is between 10 and 50 — here are 4 rows: row-1 (group-a, 2026-10-01, save_kb=10, write_ms=1), row-2 (group-b, 2026-10-02, save_kb=20, write_ms=2), row-3 (group-a, 2026-10-03, save_kb=15, write_ms=3), row-4 (group-b, 2026-10-04, save_kb=30, write_ms=4); give me the two analytical reports.","exampleUseCases":[{"title":"Game save size audit for a level area","prompt":"I have 50 save file records across different game areas and I want to deduplicate them exactly, then filter to only saves where save_kb is between 5 and 100. Can you run those two reports on my data?"},{"title":"Write-time outlier removal for save logs","prompt":"Can you deduplicate my save file entries and then keep only the ones where write_ms is between 0 and 500? I have about 120 rows across group-a and group-b areas dated through October 2026."},{"title":"Quality check on duplicated save records","prompt":"I've got a messy export of save file records with likely duplicates — can you remove exact duplicate rows and then filter down to saves where save_kb falls between 20 and 200, and return the two analysis reports?"}],"resultDescription":"Two independent analytical reports covering (1) exact row deduplication results and (2) numeric interval filtering results on the supplied save file rows, based solely on the input data — no external lookups or live data sources.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum for the interval filter — may return empty filtered set","Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation error","Non-numeric value in save_kb or write_ms when not null causes type error","Invalid field enum value (not 'save_kb' or 'write_ms') causes validation failure"],"whenToPreferThis":"Choose this endpoint when you need both exact duplicate removal and a bounded numeric interval filter on game save file records (save_kb or write_ms) in a single call that returns two structured analytical reports. It is purpose-built for save file schemas and handles up to 200 rows per call at low cost, with no dependency on external data sources.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:33:17.199Z","isFirstParty":false,"canonicalSlug":"save-files-exact-row-deduplication-numeric-interval-filter-a7724ef3"}