{"uid":"cap_TfUbdCkwYxVXiSzGJIBKj","slug":"lighting-setups-analytics-trailing-mean-series-date-by-category-pivot-e7860af6","name":"Lighting Setups Analytics: Trailing Mean Series + Date by Category Pivot","description":"Lighting setups — Trailing mean series + Date by category pivot: Trailing mean series + 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-11-152?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_E0jZDX4pYOOHKijEBR-N9","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 trailing mean time series and a date-by-category pivot table for lighting setup records (light_count, render_seconds) from up to 200 supplied rows.","exampleAgentPrompt":"Run a trailing mean series and date-by-category pivot on my lighting setup data — here are 4 rows with asset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, light_count values of 10, 20, 15, 30 and render_seconds of 1, 2, 3, 4. Use light_count as the field and a window of 2.","exampleUseCases":[{"title":"Render time trend for animation studio","prompt":"I have 150 rows of render job logs with asset_group, date, light_count, and render_seconds. Can you run a trailing mean series on render_seconds with a window of 5 and also pivot the data by date and asset group so I can see how each scene category performed over the past month?"},{"title":"Light count smoothing for VFX pipeline","prompt":"Smooth out the light_count values across my lighting setup records using a rolling window of 3, and give me a pivot of light_count by date and asset group. I'll paste in the rows — there are about 80 of them with groups 'exterior', 'interior', and 'FX'."},{"title":"CG production QA across shot categories","prompt":"I want to compare render_seconds trends across different asset groups over time. Run a trailing mean with window size 4 on render_seconds and build a date-by-category pivot for my 200 shot records so I can spot which groups are slowing down."}],"resultDescription":"Returns two independent analytical reports: (1) a trailing mean time series showing the rolling average of the selected field (light_count or render_seconds) over the specified window, and (2) a date-by-category pivot table grouping values by date and asset_group. Both reports are computed locally from the supplied row data without any external lookup.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — exceeds maxItems limit","Window size smaller than 2 or larger than 200 — rejected","Invalid date format (not YYYY-MM-DD) — schema validation failure","Missing required fields (row_id, asset_group, date) — error response","Field value not in enum ['light_count','render_seconds'] — rejected","Null numeric values may reduce effective window coverage in trailing mean"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of lighting setup records (with light_count and render_seconds) and need both a rolling/trailing mean time series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for creative production pipelines, CG rendering analytics, and VFX QA workflows where you supply your own data and need two complementary statistical views computed locally without external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:16.248Z","isFirstParty":false,"canonicalSlug":"lighting-setups-analytics-trailing-mean-series-date-by-category-pivot-e7860af6"}