{"uid":"cap_L_xBstivmrFB6IlukL11c","slug":"compositing-graphs-two-measure-correlation-secondary-measure-weighted-95f4d2f0","name":"Compositing Graphs — Two-Measure Correlation + Secondary-Measure Weighted Mean","description":"Compositing graphs — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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-09-181?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_NkcQ5zg0mhPnweTu5eq4f","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 two-measure correlation and secondary-measure weighted mean for compositing graph records (node_count, render_seconds) on up to 200 supplied rows, returning two independent analytical reports.","exampleAgentPrompt":"Run a two-measure correlation between node_count and render_seconds plus a weighted mean of render_seconds on my compositing graph data — here are 4 rows: row-1 on 2026-10-01 group-a node_count=10 render_seconds=1, row-2 on 2026-10-02 group-b node_count=20 render_seconds=2, row-3 on 2026-10-03 group-a node_count=15 render_seconds=3, row-4 on 2026-10-04 group-b node_count=30 render_seconds=4, and use node_count as the secondary field for the weighted mean.","exampleUseCases":[{"title":"Render time vs node count correlation","prompt":"I have 50 compositing graph records with node counts and render times across several asset groups — can you compute the correlation between node_count and render_seconds, and also give me the weighted mean of render_seconds using node_count as the weight field?"},{"title":"Pipeline bottleneck analysis for asset groups","prompt":"Analyze my compositing pipeline data: I have 120 rows spanning dates in October 2026 for asset groups 'bg-layer', 'fx-layer', and 'comp-final', each with node_count and render_seconds. Give me the two-measure correlation and secondary weighted mean report using render_seconds as the field."},{"title":"Quality check on compositing performance metrics","prompt":"Here are 200 compositing graph records from our rendering farm — can you run the two-measure correlation between node_count and render_seconds plus compute the node_count weighted mean? I want to see both analytical reports to spot any anomalies across asset groups."}],"resultDescription":"Two independent analytical reports: (1) a Pearson or equivalent two-measure correlation coefficient between node_count and render_seconds across all supplied rows, and (2) a weighted mean of the selected secondary measure (node_count or render_seconds) computed from the supplied dataset. Both reports are computed locally using shared analytical engines with no external lookups.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with maxItems violation","Missing required fields (row_id, date, asset_group, node_count, render_seconds) — schema validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Null values in both numeric columns preventing correlation computation — may return NaN or error","Invalid enum value for 'field' parameter — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records with node_count and render_seconds measurements and need both a two-measure correlation and a secondary-measure weighted mean in a single paid API call. It is purpose-built for creative production pipeline analytics on datasets up to 200 rows, returning two reports for $0.01 USDC. Prefer it over general-purpose statistics tools when you specifically need these two combined analyses on compositing graph data without setting up external compute infrastructure.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:01.867Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-two-measure-correlation-secondary-measure-weighted-95f4d2f0"}