{"uid":"cap_orJnECTjg-G7-UQlPdM5R","slug":"lighting-setups-two-measure-correlation-secondary-measure-weighted-mean-2dac4160","name":"Lighting Setups — Two-Measure Correlation + Secondary-Measure Weighted Mean","description":"Lighting setups — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied lighting setups records (light_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-11-181?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","light_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},"asset_group":{"type":"string","default":"","maxLength":80},"light_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"render_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","light_count":10,"render_seconds":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","light_count":20,"render_seconds":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","light_count":15,"render_seconds":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","light_count":30,"render_seconds":4}],"maxItems":200,"minItems":1},"field":{"enum":["light_count","render_seconds"],"type":"string","default":"light_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_-JCPmwDyzUZchVq9-LzwZ","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 correlation between light_count and render_seconds, plus a weighted mean of a secondary measure, for up to 200 supplied lighting setup records.","exampleAgentPrompt":"I have a batch of lighting setup records with light_count and render_seconds — can you run a correlation between those two measures and also give me the weighted mean of render_seconds? Here are 4 rows: row-1, group-a, 2026-10-01, 10 lights, 1s; row-2, group-b, 2026-10-02, 20 lights, 2s; row-3, group-a, 2026-10-03, 15 lights, 3s; row-4, group-b, 2026-10-04, 30 lights, 4s — use render_seconds as the primary field.","exampleUseCases":[{"title":"Render time vs. light complexity check","prompt":"I've got 50 lighting rig records with light_count and render_seconds for each. Can you calculate the correlation between light count and render time, and also give me the weighted mean of render_seconds across all of them?"},{"title":"Asset group performance benchmarking","prompt":"Here are 120 rows of lighting setup data across two asset groups, each with light_count and render_seconds. Run a two-measure correlation plus a weighted mean of light_count so I can compare how the groups differ statistically."},{"title":"Scene optimization analysis","prompt":"I'm trying to optimize our scene pipeline — I have 80 lighting setup records with dates, light counts, and render times. Can you correlate light_count with render_seconds and compute the weighted mean of render_seconds so I can see where bottlenecks are?"}],"resultDescription":"Returns two analytical reports: (1) a Pearson correlation coefficient between light_count and render_seconds across the supplied rows, and (2) a weighted mean of the specified secondary measure (light_count or render_seconds), all computed locally against the user-supplied dataset of up to 200 rows.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows supplied — rejected with maxItems error","Missing required fields (row_id, date, light_count, render_seconds) — schema validation failure","Invalid date format (non YYYY-MM-DD) — pattern validation error","Null values in both measures preventing correlation — may return NaN or error","Payment not included or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have tabular lighting setup data (light_count, render_seconds) and need both a two-variable correlation and a weighted mean in a single call for up to 200 rows, without requiring any external data lookup or live rendering engine. It is purpose-built for 3D/CG asset pipeline analysis where understanding the relationship between lighting complexity and render duration matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:57.636Z","isFirstParty":false,"canonicalSlug":"lighting-setups-two-measure-correlation-secondary-measure-weighted-mean-2dac4160"}