{"uid":"cap_RoVFpeM9RzZdpisTUK5y8","slug":"rig-complexity-daily-sum-series-iqr-outlier-flags-0db3cb2b","name":"Rig Complexity Daily Sum Series + IQR Outlier Flags","description":"Rig complexity — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags for supplied rig complexity records (bone_count, constraint_count). 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-04-140?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","bone_count","constraint_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"bone_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"constraint_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","bone_count":10,"asset_group":"group-a","constraint_count":1},{"date":"2026-10-02","row_id":"row-2","bone_count":20,"asset_group":"group-b","constraint_count":2},{"date":"2026-10-03","row_id":"row-3","bone_count":15,"asset_group":"group-a","constraint_count":3},{"date":"2026-10-04","row_id":"row-4","bone_count":30,"asset_group":"group-b","constraint_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["bone_count","constraint_count"],"type":"string","default":"bone_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_IEZLwi-1yOoqg-yr0h18t","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 daily sum time series and IQR-based outlier flags for rig complexity metrics (bone_count and constraint_count) across supplied animation rig records.","exampleAgentPrompt":"I have 50 rows of animation rig data with dates, bone counts, and constraint counts — can you run a daily sum time series plus IQR outlier detection on the bone_count field for me? Here's the data: asset group 'characters', dates from 2026-10-01 to 2026-10-10, row IDs row-1 through row-50.","exampleUseCases":[{"title":"Animation pipeline rig audit","prompt":"I've got a batch of 120 rig records from our character pipeline — dates span the last quarter, each has a bone_count and constraint_count. Can you sum them up by day and flag any IQR outliers in the bone_count field so I know which days look anomalous?"},{"title":"Constraint bloat detection across asset groups","prompt":"We have about 80 rig entries across two asset groups — 'vehicles' and 'characters' — and I want to find constraint_count outliers using the IQR method along with a daily sum series. Can you run that analysis on the supplied records?"},{"title":"Studio QA report for rig complexity trends","prompt":"Our QA team needs a daily summary of bone counts across 150 rig records from October 2026, plus IQR outlier flags on bone_count so we can catch any rigs that are unexpectedly complex. Can you generate both reports?"}],"resultDescription":"Returns two analytical reports for up to 200 supplied rig records: (1) a daily sum time series aggregating the selected field (bone_count or constraint_count) across all records per date, and (2) IQR-based outlier flags identifying records whose values fall outside the interquartile range boundaries. No external data is fetched; all computation is performed on the supplied rows.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — request rejected at maxItems limit","Missing required fields (row_id, asset_group, date, bone_count, constraint_count) — schema validation failure","Invalid date format (not YYYY-MM-DD pattern) — pattern validation error","Non-numeric values in bone_count or constraint_count where number expected — type error","Invalid field enum value (not 'bone_count' or 'constraint_count') — enum validation failure","Payment not included or insufficient USDC — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have animation rig records with bone_count and/or constraint_count metrics and need both a daily aggregated time series and IQR-based outlier detection in a single call. It is purpose-built for 3D rigging/animation production analytics and delivers two reports for one fixed price, making it efficient for QA, pipeline auditing, or complexity trend monitoring. Prefer alternatives if you need live rig data retrieval, predictive modeling, or analysis of metrics beyond bone and constraint counts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:15.021Z","isFirstParty":false,"canonicalSlug":"rig-complexity-daily-sum-series-iqr-outlier-flags-0db3cb2b"}