{"uid":"cap_w379F0x3-P_pQ_Lf46CcV","slug":"compositing-graphs-exact-row-deduplication-iqr-outlier-flags-fa4c1c87","name":"Compositing Graphs — Exact Row Deduplication + IQR Outlier Flags","description":"Compositing graphs — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags for supplied compositing graphs records (node_count, render_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-09-049?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","node_count","render_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"node_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","node_count":10,"asset_group":"group-a","render_seconds":1},{"date":"2026-10-02","row_id":"row-2","node_count":20,"asset_group":"group-b","render_seconds":2},{"date":"2026-10-03","row_id":"row-3","node_count":15,"asset_group":"group-a","render_seconds":3},{"date":"2026-10-04","row_id":"row-4","node_count":30,"asset_group":"group-b","render_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["node_count","render_seconds"],"type":"string","default":"node_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_b50l9M3Cr7SSYJcSBseoZ","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":"Deduplicates rows and flags IQR-based outliers in compositing graph records (node_count, render_seconds) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you run deduplication and IQR outlier detection on my compositing graph data — I have up to 50 rows with node_count and render_seconds fields, and I want both reports focusing on the render_seconds field?","exampleUseCases":[{"title":"VFX pipeline render time audit","prompt":"I have 120 compositing graph records with node_count and render_seconds columns — can you deduplicate the rows and flag any outliers in render_seconds using IQR so I can clean up the dataset before reporting?"},{"title":"Node count anomaly detection","prompt":"Run an exact row deduplication and IQR outlier check on my compositing graph dataset, focusing on the node_count field — I've got about 80 rows across several asset groups and dates and I need both the dedup and outlier reports."},{"title":"Asset group data quality check","prompt":"I need to validate the quality of my compositing records — can you deduplicate them and identify any IQR outliers in the render_seconds values? I'll supply the rows with row_id, asset_group, date, node_count, and render_seconds."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying duplicate entries in the supplied compositing graph records, and (2) an IQR outlier flags report identifying statistically anomalous values in the selected numeric field (node_count or render_seconds), all computed locally without external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, asset_group, date, node_count, render_seconds) on any row","Invalid date format (must match YYYY-MM-DD pattern)","Numeric values outside the allowed range (-1e12 to 1e12)","Empty rows array (minItems: 1 not met)","Invalid field enum value (must be 'node_count' or 'render_seconds')"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical data quality analysis specifically on compositing graph pipeline metrics (node_count and render_seconds). It is ideal when you want both duplicate detection and IQR-based outlier flagging in a single cheap call ($0.01 USDC) for datasets up to 200 rows, without needing live lookups, ML predictions, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:42:41.629Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-exact-row-deduplication-iqr-outlier-flags-fa4c1c87"}