{"uid":"cap_DVTSn9l-Ctd-ZBRj-bT-H","slug":"animation-clips-trailing-mean-series-iqr-outlier-flags-d166ecc9","name":"Animation Clips Trailing Mean Series + IQR Outlier Flags","description":"Animation clips — Trailing mean series + IQR outlier flags: Trailing mean 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-07-149?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_fOlcUxB-iKfjTbmPvvtWg","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 trailing mean time series and IQR-based outlier flags for animation clip metrics (frame_count or duration_seconds) over supplied row data","exampleAgentPrompt":"I have a list of up to 200 animation clip records with frame counts and dates — can you calculate the trailing mean series using a window of 5 and flag any IQR outliers in the frame_count field?","exampleUseCases":[{"title":"Flagging anomalous animation clip lengths","prompt":"I have 150 animation clips with their duration in seconds and dates — run a trailing mean with a window of 10 and flag any duration_seconds values that are IQR outliers so I can review weird clips."},{"title":"Trend analysis of frame counts by asset group","prompt":"Can you take my animation clip data across two asset groups and compute the trailing mean series with a window of 4 for frame_count, and also flag any statistical outliers using IQR?"},{"title":"QA check on newly rendered animation batches","prompt":"We just rendered a batch of 80 animation clips — I need a rolling average of frame_count over a window of 3 and IQR outlier flags so I can catch any clips that look wrong before we ship."}],"resultDescription":"Two analytical reports covering: (1) a trailing mean time series for the selected numeric field (frame_count or duration_seconds) computed with the specified window size, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range — all computed locally on the supplied data with no external lookups.","failureModes":["Fewer than minItems (1) rows supplied returns validation error","window size larger than number of rows may produce empty or partial trailing mean series","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Values outside numeric bounds (±1,000,000,000,000) rejected","More than 200 rows submitted exceeds maxItems limit","Missing required fields (row_id, asset_group, date, frame_count, duration_seconds) cause rejection"],"whenToPreferThis":"Choose this endpoint when you have animation clip tabular data (frame_count and/or duration_seconds) and need both a rolling/trailing mean trend analysis and IQR outlier detection in a single low-cost call. It is purpose-built for animation asset QA workflows, not general-purpose statistics. Prefer it over generic stat services when your data is already structured as animation clip records with asset groups and dates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:54.752Z","isFirstParty":false,"canonicalSlug":"animation-clips-trailing-mean-series-iqr-outlier-flags-d166ecc9"}