{"uid":"cap_YoVGuAbKBlcQLx8X2qjsJ","slug":"animation-clips-iqr-outlier-flags-missing-value-fill-6fbdd4d7","name":"Animation Clips IQR Outlier Flags + Missing-Value Fill","description":"Animation clips — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied animation clips records (frame_count, duration_seconds). 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-creative-07-180?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","frame_count","duration_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"frame_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"duration_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","frame_count":10,"duration_seconds":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","frame_count":20,"duration_seconds":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","frame_count":15,"duration_seconds":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","frame_count":30,"duration_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["frame_count","duration_seconds"],"type":"string","default":"frame_count"},"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_Aj9bF38eEWy2fouRleSMq","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 IQR-based outlier detection and explicit missing-value imputation on animation clip records (frame_count, duration_seconds) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have up to 200 animation clip records with frame_count and duration_seconds — can you flag any IQR outliers and fill the missing frame_count values using median imputation? Here are the rows: [{\"row_id\":\"clip-1\",\"asset_group\":\"intro\",\"date\":\"2026-10-01\",\"frame_count\":null,\"duration_seconds\":2.5}, ...]","exampleUseCases":[{"title":"Outlier audit for animation library","prompt":"I've got a batch of animation clips from our library — can you flag any frame_count values that look like IQR outliers and also fill in any missing frame_counts using median? Here's the data for about 150 clips across two asset groups."},{"title":"Duration data cleaning for pipeline","prompt":"Before we pass these animation records into our render pipeline, can you impute any null duration_seconds values using mean, and at the same time flag any IQR outliers in duration_seconds across all 80 rows I'm sending you?"},{"title":"Asset group quality check","prompt":"I need a quality check on these animation clip records — run IQR outlier detection on the frame_count column and fill missing frame_count entries with zero for the 60 rows in the 'backgrounds' asset group dated 2026-09-01 through 2026-09-30."}],"resultDescription":"Two reports per call: (1) a per-row IQR outlier flag report indicating which records fall outside the interquartile range for the specified field, and (2) a missing-value fill report showing which null entries were imputed and with what value (zero, mean, or median), covering up to 200 rows of animation clip data.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, asset_group) causes rejection","Invalid date format (non-YYYY-MM-DD) fails schema validation","Specifying an unsupported fill method or target field returns an enum error","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need both IQR outlier detection and missing-value imputation in a single call on animation clip records (frame_count, duration_seconds) with up to 200 rows, and you want two independent reports for a flat $0.01 USDC. It is a pure local analytical computation with no external lookups or side effects, making it ideal for deterministic, reproducible data-quality checks on animation asset metadata.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:09.226Z","isFirstParty":false,"canonicalSlug":"animation-clips-iqr-outlier-flags-missing-value-fill-6fbdd4d7"}