{"uid":"cap_DSVt8lQlP8AXGtCV5AYL4","slug":"compositing-graphs-analytics-daily-sum-series-two-measure-correlation-4f552e2f","name":"Compositing Graphs Analytics — Daily Sum Series & Two-Measure Correlation","description":"Compositing graphs — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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-09-141?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_P90uDH3RawHry0kixcD4W","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 data: a daily sum time series and a Pearson correlation between node_count and render_seconds, for up to 200 rows.","exampleAgentPrompt":"I have compositing graph records with node_count and render_seconds fields across multiple dates and asset groups — can you run a daily sum series on node_count and also compute the correlation between node_count and render_seconds across all rows? Here's the data: [{\"date\":\"2026-10-01\",\"row_id\":\"r1\",\"asset_group\":\"group-a\",\"node_count\":10,\"render_seconds\":1},{\"date\":\"2026-10-02\",\"row_id\":\"r2\",\"asset_group\":\"group-b\",\"node_count\":20,\"render_seconds\":2}].","exampleUseCases":[{"title":"Render pipeline performance analysis","prompt":"I have daily compositing job logs with node_count and render_seconds for two asset groups over October — can you sum up node_count by day and tell me how strongly node_count and render_seconds are correlated across the whole dataset?"},{"title":"Identifying bottlenecks in scene complexity","prompt":"We track scene node counts and render durations for our VFX pipeline. Can you compute the daily total of render_seconds and run a correlation between node_count and render_seconds so I can see if more complex scenes are consistently taking longer?"},{"title":"Monthly compositing throughput review","prompt":"Here's a CSV-equivalent of 150 compositing graph rows from last month, each with a date, asset group, node count, and render seconds. Please give me the daily sum series for node_count and the two-measure correlation between node_count and render_seconds."}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the chosen field (node_count or render_seconds) by date, and (2) a statistical correlation between node_count and render_seconds across all supplied rows. Both reports are computed locally without any external lookup or prediction.","failureModes":["Missing required fields (row_id, date, asset_group, node_count, render_seconds) cause validation errors","Dates not matching YYYY-MM-DD pattern are rejected","Exceeding 200 rows returns an error or truncated result","Null values in node_count or render_seconds may reduce correlation accuracy","Invalid field enum value (not node_count or render_seconds) causes a parameter error","Payment of 0.01 USDC must be included or the request is rejected"],"whenToPreferThis":"Choose this endpoint when you have compositing or rendering pipeline data (node counts and render durations per date and asset group) and need both a daily aggregation time series AND a two-measure statistical correlation in a single low-cost call. It is purpose-built for creative production analytics with up to 200 rows and does not require any external data sources or live predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:41.518Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-analytics-daily-sum-series-two-measure-correlation-4f552e2f"}