{"uid":"cap_k2FXx1-gsIwn3-wsgABdC","slug":"animation-clips-exact-row-deduplication-iqr-outlier-flags-dfe0525b","name":"Animation Clips — Exact Row Deduplication + IQR Outlier Flags","description":"Animation clips — Exact row deduplication + IQR outlier flags: Exact row deduplication + 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-07-049?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_ouV98barNYeIjCpjzoBWt","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 animation clip records exactly and flags IQR-based outliers for frame_count or duration_seconds fields across up to 200 rows.","exampleAgentPrompt":"Can you check my animation clip records for exact duplicates and flag any IQR outliers in the frame_count field? I have about 50 rows with fields like row_id, asset_group, date, frame_count, and duration_seconds.","exampleUseCases":[{"title":"Animation library data cleanup","prompt":"I have a batch of 120 animation clip records from our asset library and I suspect there are duplicate entries and some frame counts that are way off — can you run exact deduplication and IQR outlier detection on the frame_count field for me?"},{"title":"Duration anomaly detection in clips","prompt":"Can you analyze these animation clip records for duplicates and flag any duration_seconds values that are statistical outliers using IQR? I want to catch any clips with weirdly short or long durations before we publish the asset pack."},{"title":"QA check before animation pipeline ingestion","prompt":"Before we ingest this set of animation clips into the pipeline, can you run deduplication and IQR outlier flagging on the frame_count column across all 80 rows so we can catch data quality issues early?"}],"resultDescription":"Returns two independent analytical reports: (1) an exact row deduplication report identifying which rows among the submitted animation clip records are exact duplicates, and (2) an IQR outlier flags report identifying rows where the selected numeric field (frame_count or duration_seconds) falls outside the interquartile range bounds. Both reports are computed locally without any external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","All-null numeric field values may produce degenerate IQR results","Fewer than 4 rows may yield unreliable IQR statistics"],"whenToPreferThis":"Choose this endpoint when you have animation clip tabular data (with frame_count and/or duration_seconds fields) and need both duplicate removal and statistical outlier detection in a single low-cost call. Ideal for pre-pipeline data quality checks on small-to-medium animation asset datasets (up to 200 rows) where no external data enrichment or prediction is needed — purely local analytical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:55.246Z","isFirstParty":false,"canonicalSlug":"animation-clips-exact-row-deduplication-iqr-outlier-flags-dfe0525b"}