{"uid":"cap_kYCmh9C-jGKle3cBxbkR5","slug":"animation-clips-base-100-series-iqr-outlier-flags-321a6c48","name":"Animation Clips — Base-100 Series + IQR Outlier Flags","description":"Animation clips — Base-100 series + IQR outlier flags: Base-100 series + 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-07-164?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_Os5xGmVflmQqp2uSDfXVL","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 Base-100 indexed time series and IQR-based outlier flags for animation clip metrics (frame_count, duration_seconds) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a list of up to 200 animation clip records with frame counts and durations — can you normalize the frame_count field to a Base-100 series starting from the first row and flag any IQR outliers across all the rows?","exampleUseCases":[{"title":"Detect outlier animation clips by duration","prompt":"Here are 150 animation clips from our project with their durations in seconds and frame counts. Can you index the duration_seconds field to Base-100 starting at row 0 and flag any clips that are statistical outliers using IQR?"},{"title":"Baseline frame counts across asset groups","prompt":"I have animation data for two asset groups spanning the past quarter — can you run a Base-100 normalization on the frame_count field starting from the first entry and also identify which rows are outliers using the IQR method?"},{"title":"QA check on animation render metrics","prompt":"We just exported render stats for 80 animation clips. Please index the frame_count values to a Base-100 series from row 0 and flag anything that looks like an IQR outlier so our QA team can review those clips."}],"resultDescription":"Returns two analytical reports: (1) a Base-100 indexed series for the selected metric (frame_count or duration_seconds) relative to the specified base row, and (2) IQR-based outlier flags indicating which rows fall outside the interquartile range bounds — all computed locally without external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, frame_count, duration_seconds) causing validation errors","base_index out of bounds (must be 0–199 and within the actual row count)","All numeric values are null, preventing IQR computation","Date strings not matching YYYY-MM-DD format causing schema validation failure","Numeric values outside allowed range causing rejection"],"whenToPreferThis":"Choose this endpoint when you need both a Base-100 time series normalization and IQR outlier detection on animation clip metrics (frame_count or duration_seconds) in a single call. It is ideal for creative production pipelines that need to benchmark clips against a baseline row and simultaneously surface statistical anomalies, without requiring external data lookups or predictions. Prefer it over general-purpose analytics when your data fits the animation clip schema and you want two reports bundled at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:14.458Z","isFirstParty":false,"canonicalSlug":"animation-clips-base-100-series-iqr-outlier-flags-321a6c48"}