{"uid":"cap_yzuu3gipz4zRlIZYhOdgZ","slug":"save-files-data-quality-audit-record-quality-string-normalisation-5027e303","name":"Save Files Data Quality Audit — Record Quality, String Normalisation & Numeric Distribution","description":"Save files — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-13-193?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_L2vUiPPSMDTCrz39C7AjM","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 independent analytical reports (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of game save-file data (save_kb, write_ms).","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric distribution report on my game save file data — here are up to 200 rows with fields row_id, game_area, date, save_kb, and write_ms — and use save_kb as the primary numeric field?","exampleUseCases":[{"title":"Game save telemetry quality check","prompt":"I have 150 rows of game save logs with row_id, game_area, date, save_kb, and write_ms. Can you audit their record quality, normalise the game_area strings, and give me a numeric distribution for save_kb?"},{"title":"Write latency distribution analysis","prompt":"Run a numeric distribution report on write_ms across my game save records — I've got about 80 rows with game_area, date, save_kb and write_ms — and also flag any record quality issues while you're at it."},{"title":"Pre-pipeline data normalisation for save files","prompt":"Before I load these 200 game save file rows into our pipeline, can you check their record quality, normalise the game_area field strings, and show me the distribution of save_kb values?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging issues such as missing, malformed, or out-of-range values; (2) a string normalisation report for the game_area field; and (3) a numeric distribution summary (min, max, mean, percentiles, etc.) for the chosen numeric field (save_kb or write_ms) — all computed locally on the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Numeric values outside allowed range cause validation errors","Empty rows array returns an error","Payment not included or insufficient USDC causes 402 rejection"],"whenToPreferThis":"Choose this endpoint when you need three analytical operations — record quality auditing, string normalisation, and numeric distribution — bundled into a single cheap call ($0.01 USDC) on game save-file telemetry data (save_kb, write_ms). It is ideal for pre-pipeline data validation and profiling of small-to-medium game save datasets (up to 200 rows) where no external data, predictions, or live lookups are required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:41.665Z","isFirstParty":false,"canonicalSlug":"save-files-data-quality-audit-record-quality-string-normalisation-5027e303"}