{"uid":"cap_pJLX1FBtaUy62EebBspmP","slug":"save-files-analytics-record-quality-audit-string-normalisation-1ded9186","name":"Save Files Analytics — Record Quality Audit + String Normalisation + Trailing Mean Series","description":"Save files — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied save files records (save_kb, write_ms). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-13-199?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_ttSmQRj8Wlu_Vv3bJK61j","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 three local analytical reports (record quality audit, string normalisation, and trailing mean series) on game save file metrics (save_kb, write_ms) for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and trailing mean series (window of 3) on these game save file records — I have about 50 rows with save_kb and write_ms values across different game areas from October 2026, and I want to analyse the save_kb field?","exampleUseCases":[{"title":"Game save data quality check","prompt":"I have 120 rows of game save file data with save_kb and write_ms values logged by game_area and date — can you run a record quality audit plus string normalisation on them and flag any issues?"},{"title":"Rolling average of write latency","prompt":"Can you compute a trailing mean series with a window of 5 for the write_ms field across my game save records? I've got about 80 rows covering different game areas from the past month."},{"title":"Clean and summarise save file metrics","prompt":"Run all three reports — record quality audit, string normalisation, and trailing mean — on my save file dataset of 60 rows, focusing on the save_kb field with a window of 4, so I can see data quality and trend in one go."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report standardising text fields like game_area; (3) a trailing mean series showing rolling averages of the chosen numeric field (save_kb or write_ms) over the specified window. All computed locally without external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum limit","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, game_area, date, save_kb, write_ms) — schema error","Window size outside 2–200 range — parameter error","Field value not in enum ['save_kb','write_ms'] — rejected","Payment not attached or insufficient — 402 response"],"whenToPreferThis":"Choose this endpoint when you need three analytical passes on game save file records in a single low-cost call: data quality auditing, string normalisation, and rolling mean computation. It is ideal when data is already collected and you need offline/local analysis without any live lookup, prediction, or external action. Best for datasets up to 200 rows of game telemetry with save size and write latency metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:41.924Z","isFirstParty":false,"canonicalSlug":"save-files-analytics-record-quality-audit-string-normalisation-1ded9186"}