{"uid":"cap_y1RGUf5GkssJbroZL1vvv","slug":"animation-clips-trailing-mean-series-missing-value-fill-a43b109e","name":"Animation Clips Trailing Mean Series + Missing Value Fill","description":"Animation clips — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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-07-154?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"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_U-GvrmaH-q8t_3gtYXMfs","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 a trailing moving average series and fills missing values for animation clip metrics (frame_count or duration_seconds) across up to 200 rows of supplied data.","exampleAgentPrompt":"I have animation clip records for two asset groups with frame_count and duration_seconds by date — can you run a trailing mean series with a window of 3 and fill any missing frame_count values using median imputation across up to 50 rows?","exampleUseCases":[{"title":"Smoothing frame counts for animation QA","prompt":"I have daily animation clip data for asset groups A and B with frame_count values — some are missing. Can you compute a trailing mean series with a window of 5 and fill missing frame_count values using mean imputation? I have about 80 rows."},{"title":"Analyzing duration trends across asset groups","prompt":"Can you run a trailing average with a window of 4 on the duration_seconds field for my animation clip records, and fill in any missing duration values using zero fill? I'll provide around 120 rows of data."},{"title":"Pre-production animation data cleaning","prompt":"I need to clean up my animation clip dataset before rendering — about 60 rows with frame_count and duration_seconds by date. Please compute a trailing mean series with window size 2 and fill missing frame_count values using median."}],"resultDescription":"Returns two analytical reports: (1) a trailing mean series showing the rolling average of the selected metric (frame_count or duration_seconds) over the specified window, and (2) a missing-value fill report showing imputed values using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied data, with no external lookups or predictions.","failureModes":["Empty or malformed rows array returns validation error","Row count exceeding 200 items rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Window size outside 2–200 range rejected","Field value not in enum (frame_count, duration_seconds) causes error","Method value not in enum (zero, mean, median) causes error","Payment of 0.01 USDC not provided or rejected blocks execution"],"whenToPreferThis":"Choose this endpoint when you need both a trailing moving average series and missing-value imputation for animation clip metrics (frame_count or duration_seconds) in a single low-cost call. Ideal for creative production pipelines needing local statistical smoothing and data cleaning without external data sources or ML predictions. Best when working with up to 200 rows of dated, grouped animation records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:42.880Z","isFirstParty":false,"canonicalSlug":"animation-clips-trailing-mean-series-missing-value-fill-a43b109e"}