{"uid":"cap_qwqOK5axO2BbgMku8JOSP","slug":"compositing-graphs-two-measure-correlation-and-missing-value-fill-884fec4a","name":"Compositing Graphs Two-Measure Correlation and Missing-Value Fill","description":"Compositing graphs — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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-09-184?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Nh00JDQjHHU1HDqqTyB9M","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 Pearson/rank correlation between node_count and render_seconds, and fills missing values using zero, mean, or median imputation, across up to 200 compositing graph records.","exampleAgentPrompt":"I have up to 200 rows of compositing graph data with node_count and render_seconds fields — can you run a two-measure correlation between those two metrics and also fill any missing node_count values using median imputation?","exampleUseCases":[{"title":"Render pipeline bottleneck analysis","prompt":"Here are 150 rows of compositing graph records with node_count and render_seconds. Can you compute the correlation between those two measures and fill any missing render_seconds values using the mean method?"},{"title":"Asset group performance audit","prompt":"I've got compositing data for two asset groups across October — can you run a correlation between node count and render time, and replace any null node_count values with zero, for all 80 rows?"},{"title":"Pre-delivery data quality check","prompt":"Before I hand off this compositing job, I need to verify how strongly node count correlates with render seconds across these 200 rows, and also patch any missing render_seconds using median fill — can you do both reports?"}],"resultDescription":"Two independent analytical reports: (1) a correlation report quantifying the statistical relationship between node_count and render_seconds across the submitted rows, and (2) a missing-value fill report showing imputed values for the chosen field using the specified method (zero, mean, or median). Both reports are computed locally from supplied data.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — rejected with maxItems violation","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field or method enum value not in allowed set — schema rejection","All values for a field are null — correlation undefined, report may be empty or return NaN","Payment not confirmed — endpoint returns 402 or no response"],"whenToPreferThis":"Choose this endpoint when you have compositing graph records (node_count, render_seconds) and need both a two-measure correlation analysis and explicit missing-value imputation in a single $0.01 call. Prefer it over general-purpose analytics when your data fits the compositing-graph domain schema and you need both reports bundled together with no external lookups or live data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:44.094Z","isFirstParty":false,"canonicalSlug":"compositing-graphs-two-measure-correlation-and-missing-value-fill-884fec4a"}