{"uid":"cap_2Boat4j7LIJRdRcCr2AoI","slug":"compositing-graphs-exact-row-deduplication-two-measure-correlation-d429645b","name":"Compositing Graphs — Exact Row Deduplication + Two-Measure Correlation","description":"Compositing graphs — Exact row deduplication + Two-measure correlation: Exact row deduplication + 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-09-050?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}}},"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_dqbvsTK4cNNEgpT-hHpmW","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 compositing graph records and computes correlation between node_count and render_seconds for up to 200 supplied rows, returning two analytical reports.","exampleAgentPrompt":"I have compositing graph records with node_count and render_seconds fields — can you deduplicate the rows exactly and also run a two-measure correlation between node_count and render_seconds across all entries? Here's my data: row-1 on 2026-10-01, group-a, 10 nodes, 1.0 render seconds; row-2 on 2026-10-02, group-b, 20 nodes, 2.0 render seconds.","exampleUseCases":[{"title":"Compositing pipeline performance analysis","prompt":"I've collected compositing graph logs with node_count and render_seconds for each asset group — can you deduplicate any repeated rows and tell me how strongly node count correlates with render time? Here's my CSV data for about 150 rows across groups alpha, beta, and gamma."},{"title":"Duplicate render record cleanup","prompt":"My compositing system logged duplicate entries — can you run exact row deduplication on these records and also compute the correlation between node_count and render_seconds so I can understand the render cost per node?"},{"title":"Render complexity vs. time study","prompt":"I want to know if there's a meaningful correlation between the number of nodes in our compositing graphs and how long they take to render. I have about 80 rows of data with row IDs, dates, asset groups, node counts, and render durations — can you deduplicate them and give me the correlation report?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate compositing graph records, and (2) a two-measure correlation report showing the statistical relationship between node_count and render_seconds across the supplied dataset (up to 200 rows).","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, node_count, render_seconds, asset_group) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in node_count or render_seconds may reduce correlation accuracy","Fewer than 2 unique rows after deduplication may produce undefined correlation result"],"whenToPreferThis":"Use this endpoint when you have compositing graph records (with node_count and render_seconds measurements) and need both exact duplicate removal and a Pearson-style two-measure correlation between those fields in a single low-cost call. Ideal for rendering pipeline QA, performance analysis, and data cleaning workflows where both deduplication and correlation are needed together without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T12:43:39.253Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-exact-row-deduplication-two-measure-correlation-d429645b"}