{"uid":"cap_JxptJpyRudaSsZvTKokf9","slug":"animation-clips-iqr-outlier-flags-secondary-measure-weighted-mean-9ec49774","name":"Animation Clips IQR Outlier Flags + Secondary-Measure Weighted Mean","description":"Animation clips — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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-07-177?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"}}},"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_82IYzZYUPhRmf1QX5cUe3","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":"Computes IQR-based outlier flags and secondary-measure weighted mean for animation clip records (frame_count, duration_seconds) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Can you flag IQR outliers and compute the secondary-measure weighted mean for my animation clips? Here are the rows — asset group 'hero-animations', dates from 2026-10-01 to 2026-10-04, frame counts [120, 130, 5000, 125] and duration_seconds [4.0, 4.3, 166.7, 4.1] — use frame_count as the primary field.","exampleUseCases":[{"title":"Outlier detection in animation library","prompt":"I have 50 animation clips from our game project — can you flag any frame_count outliers using IQR and also give me the duration_seconds weighted mean? Asset groups are 'idle', 'run', and 'attack', I'll share the full row data."},{"title":"QA check before animation pipeline export","prompt":"Before we export our animation batch, run IQR outlier detection on the frame_count field and compute the weighted mean across all clips — I've got 80 rows with row IDs, asset groups, dates, frame counts, and durations to check."},{"title":"Spot anomalous clips in daily render output","prompt":"We had a render run today and I want to know if any clips have weirdly high or low duration_seconds — please flag IQR outliers and give the frame_count-weighted mean for the 30 clips produced on 2026-11-15."}],"resultDescription":"Returns two analytical reports: (1) IQR outlier flags for each row indicating whether the selected field value falls outside the interquartile range, and (2) a secondary-measure weighted mean computed across the supplied rows — all based entirely on the submitted data with no external lookups.","failureModes":["Fewer than 1 row supplied — minItems validation fails","More than 200 rows submitted — maxItems exceeded","Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Non-numeric or out-of-range frame_count or duration_seconds values","Invalid field enum value (must be 'frame_count' or 'duration_seconds')"],"whenToPreferThis":"Choose this endpoint when you need fast, offline IQR-based outlier detection plus weighted mean computation specifically for animation clip records (frame_count and duration_seconds), and you want both analyses in a single low-cost call without any external data lookups or predictions. Best suited for QA pipelines, animation asset auditing, and creative production workflows needing lightweight statistical summaries.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:40.369Z","isFirstParty":false,"canonicalSlug":"animation-clips-iqr-outlier-flags-secondary-measure-weighted-mean-9ec49774"}