{"uid":"cap_0LhRt4hJJZZBRm9f73-JB","slug":"save-files-analytics-numeric-interval-filter-base-100-series-761947b8","name":"Save Files Analytics — Numeric Interval Filter + Base-100 Series","description":"Save files — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 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-13-128?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},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_8Ao45xj2fr4gJiB2pL8Aa","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 up to 200 supplied save-file records by filtering rows within a numeric interval and computing a Base-100 index series for save_kb or write_ms fields, returning two independent reports.","exampleAgentPrompt":"I have 4 save file records with save_kb values of 10, 20, 15, and 30 — can you filter to rows where save_kb is between 0 and 25, then build a Base-100 index series anchored to row 0 (row-1 on 2026-10-01 in group-a, row-2 on 2026-10-02 in group-b, row-3 on 2026-10-03 in group-a, row-4 on 2026-10-04 in group-b)?","exampleUseCases":[{"title":"Filter oversized save files by size range","prompt":"Here are 50 game save records with save_kb values — filter to only rows between 100 and 5000 KB and give me a Base-100 index series for save_kb anchored at the first row (row-1, 2026-10-01, group-alpha)."},{"title":"Normalize write latency for performance review","prompt":"I've got 120 save file entries with write_ms data across several game areas. Filter to rows where write_ms is between 5 and 200 ms, then compute a Base-100 series for write_ms starting from base index row 0."},{"title":"Compare save sizes across game areas","prompt":"Can you run the interval filter and Base-100 series reports on my 80 save file records? I want save_kb filtered between 0 and 500, indexed relative to the first row (index 0), so I can compare size growth across group-a and group-b areas."}],"resultDescription":"Returns two independent reports: (1) rows filtered to the specified numeric interval for the chosen field (save_kb or write_ms), and (2) a Base-100 index series normalizing that field relative to the specified base row — all computed locally on the supplied data, up to 200 rows, with no external lookups.","failureModes":["Missing required row fields (row_id, date, game_area) returns a validation error","Fewer than 1 or more than 200 rows causes rejection","Date strings not matching YYYY-MM-DD pattern are rejected","Field value outside ±1,000,000,000,000 range may be clamped or error","base_index out of 0–199 range causes an error","No rows fall within the specified min/max interval — empty filter result returned"],"whenToPreferThis":"Choose this endpoint when you have game save file records with numeric save_kb or write_ms measurements and need both interval-range filtering and Base-100 normalization in a single cheap call ($0.01 USDC). Ideal for offline/batch analysis of supplied data without any live data fetching, external predictions, or professional assessments — best when you need two analytical views (filtered subset + indexed trend) on the same dataset simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:13.274Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-numeric-interval-filter-base-100-series-761947b8"}