{"uid":"cap_5V8iVuIXJDvYVibVHRnzv","slug":"lighting-setups-two-measure-correlation-date-by-category-pivot-da15db8a","name":"Lighting Setups — Two-Measure Correlation + Date by Category Pivot","description":"Lighting setups — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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-11-182?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_tM-rycJkA_uKy94ONFrap","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 a Pearson correlation between light_count and render_seconds, plus a date-by-category pivot table, for up to 200 supplied lighting setup records.","exampleAgentPrompt":"I have lighting setup records with light_count and render_seconds for up to 200 rows across several asset groups and dates — can you run a two-measure correlation between light_count and render_seconds, and also give me a date-by-category pivot, using light_count as the primary field?","exampleUseCases":[{"title":"Render time vs light count correlation","prompt":"I want to know if there's a statistical correlation between how many lights are in a scene and how long it takes to render — here are my 150 lighting setup rows with dates, asset groups, light_count, and render_seconds. Run the correlation report and the date-by-category pivot for me."},{"title":"Asset group performance pivot over time","prompt":"Can you pivot my lighting data by date and asset group so I can see how render_seconds and light_count trend across group-a and group-b over October? I have about 80 rows to analyze."},{"title":"Studio pipeline analytics for multiple scenes","prompt":"We're auditing our studio's lighting pipeline — I have 200 rows of lighting setup records with asset groups, dates, light counts, and render times. Please give me the correlation between light count and render seconds, plus a date-by-category breakdown."}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure Pearson-style correlation result between light_count and render_seconds across the supplied rows, and (2) a date-by-category pivot table grouping the chosen field (light_count or render_seconds) by date and asset_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — returns validation error","More than 200 rows supplied — exceeds maxItems limit, request rejected","Missing required fields (row_id, date, asset_group, light_count, render_seconds) — schema validation error","Date field does not match YYYY-MM-DD pattern — validation error","Null values in both measures for all rows — correlation cannot be computed, may return NaN or error","Invalid enum value for 'field' parameter — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 lighting setup records and need both a correlation analysis between two numeric measures (light_count and render_seconds) and a date-by-category pivot in a single low-cost call. It is purpose-built for 3D/CG production analytics on supplied data with no external data access, making it ideal for pipeline audits, render optimization studies, and scene performance reviews.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:55.736Z","isFirstParty":false,"canonicalSlug":"lighting-setups-two-measure-correlation-date-by-category-pivot-da15db8a"}