{"uid":"cap__SLvrn_XDgEpLxn9z2N5c","slug":"texture-streaming-data-cleaner-deduplication-missing-value-fill-64f49829","name":"Texture Streaming Data Cleaner — Deduplication & Missing-Value Fill","description":"Texture streaming — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill for supplied texture streaming records (loaded_mb, stream_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-09-054?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","loaded_mb","stream_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"loaded_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"stream_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","loaded_mb":10,"stream_ms":1},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","loaded_mb":20,"stream_ms":2},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","loaded_mb":15,"stream_ms":3},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","loaded_mb":30,"stream_ms":4}],"maxItems":200,"minItems":1},"field":{"enum":["loaded_mb","stream_ms"],"type":"string","default":"loaded_mb"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_68KWasukA6GiKGzDD_y3r","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":"Deduplicates texture streaming rows and fills missing loaded_mb or stream_ms values using zero, mean, or median imputation, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 texture streaming records with fields like loaded_mb and stream_ms — can you deduplicate the rows and fill any missing loaded_mb values using median imputation, then give me 2 analytical reports on the cleaned data?","exampleUseCases":[{"title":"Clean game texture streaming logs","prompt":"I've got a batch of texture streaming records from our game engine — some rows are duplicated and a bunch of loaded_mb values are null. Can you deduplicate everything and fill in those missing loaded_mb values using median, then give me the cleaned reports?"},{"title":"Impute missing stream latency metrics","prompt":"My texture streaming dataset has missing stream_ms entries across several game areas. Can you deduplicate the rows and fill in the missing stream_ms values using mean imputation? I have about 150 rows total."},{"title":"Pre-process texture data before dashboard upload","prompt":"Before I push these texture streaming records to our dashboard, I need to strip out exact duplicate rows and replace any null loaded_mb fields with zero. Can you run the deduplication and zero-fill on this set of rows and return the two reports?"}],"resultDescription":"Returns two analytical reports covering the supplied texture streaming rows after exact duplicate removal and missing-value imputation (zero, mean, or median) on the chosen field (loaded_mb or stream_ms), for up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request rejected","Invalid date format not matching YYYY-MM-DD pattern — validation error","Missing required fields (row_id, game_area, date) — schema validation failure","Unknown imputation method or field enum value — bad request error","Empty row array — minimum 1 row required"],"whenToPreferThis":"Choose this endpoint when you have texture streaming records (loaded_mb, stream_ms) that need exact duplicate row removal and null/missing value imputation in a single low-cost step, without requiring live data lookup or external ML prediction. It is ideal for lightweight pre-processing pipelines in game analytics workflows handling up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:31:59.632Z","isFirstParty":false,"canonicalSlug":"texture-streaming-data-cleaner-deduplication-missing-value-fill-64f49829"}