{"uid":"cap_M4OOt9To8Ma2Of-HNIGUC","slug":"animation-clips-adjacent-row-changes-explicit-missing-value-fill-d29076c9","name":"Animation Clips — Adjacent Row Changes + Explicit Missing-Value Fill","description":"Animation clips — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + 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-07-162?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"}}},"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_pAGztzBtYk5O1zuL3FLkS","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":"Analyzes animation clip records (frame_count, duration_seconds) to compute adjacent row changes and fill missing values using zero, mean, or median methods, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"For my animation clip dataset with rows grouped by asset_group and dated from 2026-10-01 to 2026-10-04, can you compute the adjacent row changes and fill any missing frame_count values using median — I have about 4 rows across groups group-a and group-b?","exampleUseCases":[{"title":"Animation frame count gap filling","prompt":"I have 150 animation clip records with some null frame_count values — fill in the missing ones using the median and also show me how each row's frame_count changed from the previous row, grouped by asset_group."},{"title":"Duration drift analysis across clips","prompt":"Can you run adjacent row change analysis on my animation timeline data for duration_seconds and fill any missing duration values with the mean? I'll give you up to 80 rows with dates and asset groups."},{"title":"Multi-group animation QA check","prompt":"I need to audit my animation clip exports — compute row-over-row changes in frame_count and fill any gaps with zero so I can spot irregularities. My dataset has around 60 rows split across three asset groups."}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing the delta between consecutive rows for the specified field (frame_count or duration_seconds), and (2) an explicit missing-value fill report where null values in the target field are replaced using the chosen method (zero, mean, or median). Both reports are computed locally without external lookups or predictions, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Unrecognized field enum value causes rejection","All values missing for the target field makes mean/median fill undefined","row_id missing or empty string violates minLength constraint","Payment of 0.01 USDC not completed causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have animation clip tabular data with frame_count or duration_seconds fields and need both row-over-row delta analysis and missing value imputation in a single call. It is best suited for small-to-medium datasets (≤200 rows) where no external data enrichment or prediction is needed — purely local statistical computation. Prefer alternatives if you need real-time data lookup, forecasting, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:51.944Z","isFirstParty":false,"canonicalSlug":"animation-clips-adjacent-row-changes-explicit-missing-value-fill-d29076c9"}