{"uid":"cap_meAhU1XTks27nJaOJG9WS","slug":"compositing-graphs-iqr-outlier-flags-date-by-category-pivot-d78393c1","name":"Compositing Graphs IQR Outlier Flags + Date by Category Pivot","description":"Compositing graphs — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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-09-178?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_zaU8JqpMtEGeClThniscL","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 two analytical reports on compositing graph records — IQR-based outlier flagging and a date-by-category pivot — for up to 200 supplied rows of node_count and render_seconds data.","exampleAgentPrompt":"Can you run IQR outlier detection and a date-by-asset-group pivot on my compositing graph data — here are 50 rows with node_count and render_seconds, grouped under asset groups like 'vfx-layer' and 'bg-comp', with dates from 2025-01-01 to 2025-02-20? Flag the outliers and show me the pivot for node_count.","exampleUseCases":[{"title":"Detecting render time anomalies in VFX pipeline","prompt":"I have 120 compositing job records with node_count and render_seconds across asset groups like 'hero-comp' and 'bg-layer' from 2025-03-01 to 2025-06-30 — can you flag any IQR outliers and pivot render_seconds by asset group and date?"},{"title":"Auditing node count spikes across asset groups","prompt":"Here are 80 compositing graph rows spanning asset groups 'fx-pass' and 'lighting-comp' between 2024-11-01 and 2025-01-31 — run IQR outlier flagging on node_count and show me a date-by-category breakdown so I can see where counts spike."},{"title":"Post-production performance review for compositing team","prompt":"We finished a production run with 150 compositing records across groups 'matte-paint', 'cg-comp', and 'grade-pass' from 2025-04-01 to 2025-04-30 — can you detect render_seconds outliers using IQR and pivot the data by asset group and date for our performance review?"}],"resultDescription":"Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have statistically anomalous values for the selected field (node_count or render_seconds), and (2) a date-by-category pivot table summarizing the selected metric across asset_group and date dimensions. All computation is performed locally on the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit","Empty rows array returns an error","Null values for both node_count and render_seconds across all rows may yield empty outlier results","Invalid field enum value (not 'node_count' or 'render_seconds') causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and a date-by-category pivot in a single call on compositing graph data (node_count, render_seconds), without requiring external data sources, model inference, or live lookups. It is well-suited for post-production analytics, pipeline auditing, and performance diagnostics on batches of up to 200 compositing job records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:09.226Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-iqr-outlier-flags-date-by-category-pivot-d78393c1"}