{"uid":"cap_Wzwm9wiPb4oIxJU9eYd31","slug":"animation-clips-numeric-distribution-adjacent-row-changes-a786b792","name":"Animation Clips — Numeric Distribution + Adjacent Row Changes","description":"Animation clips — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-07-077?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_yCUDoH-rYYAWhXSinCLPS","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 to produce a numeric distribution report and an adjacent row changes report for frame_count or duration_seconds fields, across up to 200 rows.","exampleAgentPrompt":"Can you analyze the distribution of frame_count values and show me how they change between adjacent rows for my animation clips dataset? I have 4 clips: row-1 on 2026-10-01 in group-a with frame_count 10 and duration_seconds 1, row-2 on 2026-10-02 in group-b with frame_count 20 and duration_seconds 2, row-3 on 2026-10-03 in group-a with frame_count 15 and duration_seconds 3, and row-4 on 2026-10-04 in group-b with frame_count 30 and duration_seconds 4.","exampleUseCases":[{"title":"Frame count spread across asset groups","prompt":"I have 50 animation clips across two asset groups — can you show me the distribution of frame_count values and how frame counts shift between consecutive clips in the sequence?"},{"title":"Duration analysis for animation QA","prompt":"We're doing a QA pass on our animation library. Can you give me a numeric distribution and adjacent row changes report for duration_seconds across these 120 animation clip records, grouped by asset group?"},{"title":"Spotting outlier clips in a production batch","prompt":"I want to spot any clips with unusual duration changes in my production batch. Can you run a numeric distribution and adjacent row differences analysis on duration_seconds for these 80 animation clip rows?"}],"resultDescription":"Two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field (frame_count or duration_seconds) across all submitted rows; and (2) an adjacent row changes report showing the difference in the selected field between each consecutive row. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted returns a validation error","More than 200 rows submitted exceeds the row limit","Missing required fields (row_id, date, frame_count, duration_seconds) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","field enum value not matching 'frame_count' or 'duration_seconds' causes an input error","null values in the selected numeric field may affect distribution completeness"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytics reports — numeric distribution and sequential row-to-row change detection — on animation clip data (frame_count or duration_seconds) in a single low-cost call. It is ideal for creative pipeline QA, batch analysis of animation libraries, or detecting outlier clips, especially when you want offline/local computation with no external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:27.438Z","isFirstParty":false,"canonicalSlug":"animation-clips-numeric-distribution-adjacent-row-changes-a786b792"}