{"uid":"cap_jNd-8m1FCXVg6Zosx9V68","slug":"animation-clips-data-quality-analytics-suite-10195300","name":"Animation Clips Data Quality & Analytics Suite","description":"Animation clips — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied animation clips records (frame_count, duration_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-07-206?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_ZkmJMVPTVzvDhNfVJQwPi","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":"Runs three local analytical reports on animation clip records: record quality audit, string normalisation, and date-by-category pivot for frame_count or duration_seconds fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and date-by-category pivot on my animation clip dataset — it has rows with row_id, asset_group, date, frame_count, and duration_seconds — and use frame_count as the main metric field? I have up to 50 rows.","exampleUseCases":[{"title":"Animation pipeline data quality check","prompt":"I have a batch of 80 animation clip records with frame counts and durations and I want to audit them for data quality issues, normalise the string fields, and see a pivot of frame_count by date and asset group — can you run all three reports at once?"},{"title":"Asset group duration pivot for review","prompt":"Can you analyse my 120 animation clip records and give me a date-by-category pivot on duration_seconds broken down by asset group, plus flag any quality issues in the data?"},{"title":"Pre-delivery animation metadata cleanup","prompt":"Before I hand off this animation dataset to the client, can you run string normalisation and a record quality audit on my 60 rows of clip data including frame_count and duration_seconds fields?"}],"resultDescription":"Three independent analytical reports returned together: (1) a record quality audit flagging null, out-of-range, or structurally invalid values per row; (2) string normalisation results for text fields such as asset_group; and (3) a date-by-category pivot table aggregating the selected numeric field (frame_count or duration_seconds) by date and asset_group — all computed locally against the supplied data, no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, frame_count, duration_seconds) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Selecting a field value not in enum ['frame_count','duration_seconds'] returns a schema error","Empty rows array returns a minItems validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and date pivot — on animation clip records in a single cheap call ($0.01 USDC). Ideal for pre-delivery data validation, pipeline QA checks, and lightweight analytics on batches up to 200 rows without requiring a live data warehouse or external ML service. Not suitable for real-time streaming, prediction, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:29.455Z","isFirstParty":false,"canonicalSlug":"animation-clips-data-quality-analytics-suite-10195300"}