{"uid":"cap_cPjGU5FNt7NQk-lvwQPty","slug":"compositing-graphs-string-normalisation-and-two-measure-correlation-785da6ad","name":"Compositing Graphs String Normalisation and Two-Measure Correlation","description":"Compositing graphs — String normalisation + Two-measure correlation: String normalisation + 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-09-033?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_AvFkK1tS3ZxxbX7imzTy1","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":"Performs string normalisation and two-measure correlation analysis on compositing graph records (node_count, render_seconds) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and two-measure correlation on my compositing graph data? I have 4 rows — row-1 for group-a on 2026-10-01 with node_count 10 and render_seconds 1, row-2 for group-b on 2026-10-02 with node_count 20 and render_seconds 2, row-3 for group-a on 2026-10-03 with node_count 15 and render_seconds 3, and row-4 for group-b on 2026-10-04 with node_count 30 and render_seconds 4.","exampleUseCases":[{"title":"Render time vs node count correlation","prompt":"I have compositing graph data from our VFX pipeline — can you check whether node_count correlates with render_seconds across these 50 shots from group-a and group-b between 2026-09-01 and 2026-09-30? I also need the string normalisation report for the asset group labels."},{"title":"Asset group rendering performance audit","prompt":"We have 150 compositing graph records across multiple asset groups from October 2026. Run string normalisation on the asset group names and tell me if there's a meaningful correlation between how many nodes each graph has and how long it takes to render."},{"title":"Pipeline efficiency statistical review","prompt":"Can you analyse these 80 compositing graph rows — each has a row_id, asset_group, date, node_count, and render_seconds — and give me both a normalised string report and a two-measure correlation between node_count and render_seconds so I can identify inefficient pipeline stages?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report processing the asset_group and other string fields in the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between node_count and render_seconds across up to 200 supplied compositing graph records. All analysis is performed locally using shared analytical engines with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, asset_group, date, node_count, render_seconds) in any row — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) — rejected","Empty rows array — minimum 1 item required","Insufficient data variance for meaningful correlation — degenerate result returned"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records with node_count and render_seconds measurements and need both string normalisation and correlation analysis in a single call. It is ideal for VFX/rendering pipeline analysis where you want to understand the relationship between graph complexity and render time without setting up a local statistics environment. Prefer this over general-purpose analytics tools when working with compositing-specific data structures (asset_group, node_count, render_seconds) and need two bundled reports at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:56.483Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-string-normalisation-and-two-measure-correlation-785da6ad"}