{"uid":"cap_Z9H5f-98mcfoD3ivCI994","slug":"animation-clips-numeric-distribution-and-iqr-outlier-flags-1426f557","name":"Animation Clips Numeric Distribution and IQR Outlier Flags","description":"Animation clips — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags 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-07-080?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_pXnqL5HsddWo4M93JbBeL","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 numeric distribution statistics and IQR-based outlier flags for animation clip records (frame_count and/or duration_seconds) across up to 200 rows.","exampleAgentPrompt":"Can you analyze the distribution of frame_count values in my animation clips and flag any IQR outliers? Here are my clips: row-1 (group-a, 2026-10-01, frame_count=10, duration_seconds=1), row-2 (group-b, 2026-10-02, frame_count=200, duration_seconds=2), row-3 (group-a, 2026-10-03, frame_count=15, duration_seconds=3), row-4 (group-b, 2026-10-04, frame_count=30, duration_seconds=4).","exampleUseCases":[{"title":"Outlier detection in animation pipeline","prompt":"I have a batch of 50 animation clips from our production pipeline — can you compute the distribution of frame_count values and flag any IQR outliers so I know which clips to review?"},{"title":"QA check on animation duration data","prompt":"Run a numeric distribution analysis and IQR outlier check on duration_seconds for these animation clips: row-1 group-a 2026-11-01 120s, row-2 group-b 2026-11-02 118s, row-3 group-a 2026-11-03 5000s, row-4 group-b 2026-11-04 122s — I want to catch anything suspiciously long or short."},{"title":"Cross-group animation clip stats","prompt":"Compare frame_count distributions across two asset groups in my animation clip dataset and tell me which rows are flagged as outliers by the IQR method — here are 20 records across group-alpha and group-beta."}],"resultDescription":"Returns two reports per call: one numeric distribution summary (min, max, mean, quartiles, IQR, etc.) and one set of IQR-based outlier flags per row, for the selected field (frame_count or duration_seconds) across up to 200 supplied animation clip records.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows supplied exceeds the row limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, frame_count, duration_seconds) triggers a field-level error","Invalid field enum value (not frame_count or duration_seconds) causes rejection","All-null values for the selected numeric field may yield empty or degenerate distribution results"],"whenToPreferThis":"Choose this endpoint when you have a batch of animation clip records and need both a distributional summary and IQR-based outlier flags for frame_count or duration_seconds — especially when working locally without an external analytics pipeline. Ideal for QA workflows, pre-production data checks, or pipeline audits on up to 200 clips at $0.01 per call. Not suitable if you need live lookup, predictions, or analysis on non-animation datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:49.513Z","isFirstParty":false,"canonicalSlug":"animation-clips-numeric-distribution-and-iqr-outlier-flags-1426f557"}