{"uid":"cap_1eH46ab3IXch_mbcyLzyg","slug":"save-files-analytics-grouped-numeric-summary-numeric-row-ordering-410223b0","name":"Save Files Analytics — Grouped Numeric Summary + Numeric Row Ordering","description":"Save files — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + Numeric row ordering 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-13-087?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_Gdyg4lmvUjKXVFIvl-MRK","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 save file records (save_kb, write_ms) by producing a grouped numeric summary and a numerically ordered row report from supplied data rows.","exampleAgentPrompt":"Can you summarize and rank these save file records by save_kb — group them by game_area and also show the rows in numeric order? Here are 4 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, row-4 on 2026-10-04 in group-b with save_kb=30 and write_ms=4.","exampleUseCases":[{"title":"Game area save size comparison","prompt":"I have save file records from two game areas across October — can you group them by game_area and give me a numeric summary of save_kb, plus sort all the rows by save_kb so I can see the ranking? Here are the rows: row-1 (2026-10-01, group-a, save_kb=10, write_ms=1), row-2 (2026-10-02, group-b, save_kb=20, write_ms=2), row-3 (2026-10-03, group-a, save_kb=15, write_ms=3), row-4 (2026-10-04, group-b, save_kb=30, write_ms=4)."},{"title":"Write latency audit by area","prompt":"Can you analyze these save file records and give me a grouped summary of write_ms by game_area, plus order all the rows numerically by write_ms? Rows: row-1 (2026-10-01, group-a, save_kb=10, write_ms=1), row-2 (2026-10-02, group-b, save_kb=20, write_ms=2), row-3 (2026-10-03, group-a, save_kb=15, write_ms=3), row-4 (2026-10-04, group-b, save_kb=30, write_ms=4)."},{"title":"Identifying outlier save events","prompt":"Here are 6 save file records from our game across two areas — please group them by game_area and summarize save_kb stats, then rank all rows by save_kb so I can spot any unusually large saves: row-1 (2026-10-01, group-a, save_kb=10, write_ms=5), row-2 (2026-10-02, group-b, save_kb=500, write_ms=80), row-3 (2026-10-03, group-a, save_kb=12, write_ms=6), row-4 (2026-10-04, group-b, save_kb=480, write_ms=75), row-5 (2026-10-05, group-a, save_kb=11, write_ms=5), row-6 (2026-10-06, group-b, save_kb=490, write_ms=78)."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary with aggregate statistics (e.g. mean, min, max, count) for the selected field (save_kb or write_ms) broken down by game_area, and (2) all submitted rows sorted in numeric order by the selected field. Up to 200 rows supported per call.","failureModes":["Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation error","Date not matching YYYY-MM-DD pattern is rejected","More than 200 rows submitted exceeds the limit","Numeric values outside allowed range are rejected","Empty rows array returns an error"],"whenToPreferThis":"Use this endpoint when you have game save file records with save_kb and write_ms metrics and need both a grouped aggregate summary by game area and a numerically ordered ranking in a single call. It is purpose-built for save file analytics and bundles two analytical reports for $0.01 USDC, making it cost-effective for lightweight local analytics without needing external lookup or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:48:50.446Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-grouped-numeric-summary-numeric-row-ordering-410223b0"}