{"uid":"cap_M6RXC7GEstPgcAsQpn55E","slug":"animation-clips-iqr-outlier-flags-date-by-category-pivot-fb3f1224","name":"Animation Clips IQR Outlier Flags + Date by Category Pivot","description":"Animation clips — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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-07-178?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_dTKUMUXFcAhQJJWBaUa3o","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 two local analytical reports on animation clip data — IQR-based outlier detection and a date-by-category pivot — for up to 200 supplied rows of frame_count or duration_seconds values.","exampleAgentPrompt":"I have a list of up to 200 animation clips with frame counts and durations — can you run IQR outlier detection on the frame_count field and also give me a date-by-category pivot, grouped by asset_group?","exampleUseCases":[{"title":"Flagging abnormal frame counts in render pipeline","prompt":"I've got 150 animation clip records from our latest render batch — each has a row_id, asset_group, date, frame_count, and duration_seconds. Can you flag any IQR outliers in the frame_count field and pivot the results by date and asset_group so I can see which groups are behaving strangely?"},{"title":"Auditing clip durations across production categories","prompt":"Here are 80 animation clips from three production groups recorded over the past two weeks. Run IQR outlier flagging on the duration_seconds field and give me a date-by-category pivot so I can audit which groups have inconsistent clip lengths."},{"title":"QA check on animation asset library","prompt":"I'm doing a QA pass on our animation asset library — I have about 120 clips with dates, asset groups, frame counts, and durations. Can you detect any IQR outliers on frame_count and show me a pivot of the data by date and asset_group?"}],"resultDescription":"Returns two analytical reports: (1) IQR outlier flags for each row indicating whether the selected numeric field (frame_count or duration_seconds) falls outside the interquartile range bounds, and (2) a pivot table grouping the selected metric by date and asset_group category. Up to 200 rows processed per call.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maximum row limit","Missing required fields (row_id, asset_group, date, frame_count, or duration_seconds) on any row","Invalid date format — must match YYYY-MM-DD pattern","Invalid field enum — must be either frame_count or duration_seconds","All numeric values are null — IQR cannot be computed","Payment not included or insufficient — x402 payment of 0.01 USDC required"],"whenToPreferThis":"Choose this endpoint when you have a batch of animation clip records (up to 200) and need both IQR-based outlier detection and a date-by-category pivot in a single call without any external data lookup or prediction. It is purpose-built for animation clip metadata (frame_count, duration_seconds) organized by asset_group and date, making it more efficient than general-purpose analytics tools for this specific schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:00.368Z","isFirstParty":false,"canonicalSlug":"animation-clips-iqr-outlier-flags-date-by-category-pivot-fb3f1224"}