{"uid":"cap_Y-VjmgW-LpC0T87SwSbVX","slug":"animation-clips-string-normalisation-and-two-measure-correlation-44aca758","name":"Animation Clips String Normalisation and Two-Measure Correlation","description":"Animation clips — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-07-033?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}}},"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_C5sGcNMnCk9w_jeDdUxl2","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":"Performs string normalisation and two-measure Pearson/rank correlation analysis on animation clip records (frame_count, duration_seconds) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and a two-measure correlation analysis on these animation clips — I have rows with row IDs, asset groups, dates, frame counts, and duration in seconds, up to about 150 clips — and give me two reports on how frame_count and duration_seconds relate to each other?","exampleUseCases":[{"title":"Animation studio asset quality check","prompt":"I have 120 animation clip records from our October production run — each has a row ID, asset group, date, frame count, and duration in seconds. Can you normalise the string fields and run a two-measure correlation on frame_count vs duration_seconds so I can see if longer clips consistently have more frames?"},{"title":"Cross-group frame-duration consistency","prompt":"We produce clips in two asset groups, group-a and group-b. I want to know if frame count and duration are correlated differently across those groups — can you normalise and run a two-measure correlation analysis on all 80 rows of our clip data?"},{"title":"Post-render pipeline validation","prompt":"After our render pipeline finished, I have 200 animation clip records with frame counts and durations. Please run string normalisation and generate two correlation reports so I can verify that frame_count and duration_seconds move together as expected before we archive the batch."}],"resultDescription":"Returns two independent analytical reports per call: a string-normalised version of the supplied animation clip records, and two-measure correlation results (e.g. Pearson and rank correlation) between frame_count and duration_seconds across up to 200 rows, computed locally without any external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, frame_count, duration_seconds) — row-level or batch-level error","Invalid date format (non YYYY-MM-DD) — schema validation failure","Null values in numeric fields may affect correlation computation","Fewer than 2 rows provided — insufficient data for correlation"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and dual-measure statistical correlation on animation clip data (frame_count and duration_seconds) in a single low-cost call. It is ideal for small-to-medium batches (up to 200 rows) where you want offline, deterministic analytics without any live lookups, predictions, or external side effects. Prefer it over general-purpose stats tools when your data is already structured in the animation clip schema and you need two correlation reports for the price of one call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T12:41:24.603Z","isFirstParty":false,"canonicalSlug":"animation-clips-string-normalisation-and-two-measure-correlation-44aca758"}