{"uid":"cap_LqfEvRztd0Svj2HkOmRbk","slug":"save-files-data-quality-audit-deduplication-iqr-outlier-flags-157569f7","name":"Save Files Data Quality Audit: Deduplication + IQR Outlier Flags","description":"Save files — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags 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-13-220?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_cF9axTuNinDBnstSzLGev","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 analytical reports on save-file records (save_kb, write_ms): record quality audit, exact row deduplication, and IQR-based outlier flagging.","exampleAgentPrompt":"Can you run a quality audit on these game save records — check for exact duplicate rows and flag any IQR outliers in the save_kb field? Here are up to 200 rows with row_id, game_area, date, save_kb, and write_ms.","exampleUseCases":[{"title":"Game save size outlier detection","prompt":"I have a batch of game save records with save_kb and write_ms values — can you flag any rows that are statistical outliers using IQR on the save_kb field, and also tell me if there are any duplicate rows in the dataset?"},{"title":"Save file data quality audit before pipeline","prompt":"Before I load this set of game save records into our pipeline, can you run a full quality audit on them — check the save_kb field for IQR outliers, deduplicate any exact duplicate rows, and give me a record-level quality report?"},{"title":"Write time anomaly check for game areas","prompt":"I've got 150 rows of save file data across different game areas and dates — can you audit the write_ms field for outliers using IQR, deduplicate any identical rows, and give me the quality report?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit covering field completeness and validity, (2) an exact row deduplication report identifying and removing duplicate records, and (3) IQR-based outlier flags on the selected numeric field (save_kb or write_ms), all computed locally with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected by schema","Missing required fields (row_id, game_area, date, save_kb, write_ms) on any row — validation error","Invalid date format (not YYYY-MM-DD) — schema rejection","Null values in the selected numeric field may reduce outlier detection accuracy","Field enum not one of save_kb or write_ms — invalid request","Payment of 0.01 USDC not confirmed — request blocked"],"whenToPreferThis":"Choose this endpoint when you need three bundled local analytical reports — quality audit, deduplication, and IQR outlier detection — specifically on game save file metrics (save_kb, write_ms) for up to 200 rows, at a fixed low cost of $0.01 USDC. Prefer it over building custom pipelines when you want a fast, self-contained batch analysis with no external data dependencies or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:29.164Z","isFirstParty":false,"canonicalSlug":"save-files-data-quality-audit-deduplication-iqr-outlier-flags-157569f7"}