{"uid":"cap_7LUo25ZKDwTlOLGB0eb2i","slug":"lighting-setups-trailing-mean-series-and-adjacent-row-changes-135f8f10","name":"Lighting Setups Trailing Mean Series and Adjacent Row Changes","description":"Lighting setups — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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-11-146?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_JF37sxCoGgHhQAo-JP-BQ","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 adjacent row changes for lighting setup records (light_count, render_seconds) on up to 200 supplied rows.","exampleAgentPrompt":"I have a dataset of lighting setups with light_count and render_seconds across 4 rows dated 2026-10-01 to 2026-10-04 for groups group-a and group-b — can you run the trailing mean series and adjacent row changes reports on the light_count field using a window of 2?","exampleUseCases":[{"title":"Trending render time across shots","prompt":"Here are 50 daily lighting records for our animation project with render_seconds per asset group — can you give me a trailing mean series and adjacent row changes for render_seconds using a window of 5, so I can see where render time is trending up?"},{"title":"Monitoring light count drift by group","prompt":"I've got 100 lighting setup rows across two groups, each with a date and light_count — can you compute the trailing mean and the adjacent row differences for light_count with a window of 3 so I can spot any sudden jumps?"},{"title":"Scene optimization quality check","prompt":"We just exported 80 rows of lighting data from our scene optimizer covering light_count and render_seconds — run the trailing mean series and adjacent row changes on render_seconds with a window of 4 so we can review performance consistency."}],"resultDescription":"Returns two analytical reports: (1) a trailing mean series showing the rolling average of the selected field (light_count or render_seconds) over the specified window, and (2) an adjacent row changes report showing the difference between each consecutive row for the selected field, both computed locally from the supplied data.","failureModes":["Fewer than 1 row supplied — minimum row requirement not met","More than 200 rows supplied — exceeds maximum row limit","Window size exceeds number of rows — trailing mean cannot be computed","Invalid date format (must be YYYY-MM-DD) — schema validation error","Missing required fields (row_id, date, light_count, render_seconds) — request rejected","Null values in selected metric field — may produce partial or null results in series"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of lighting setup records (with light_count and/or render_seconds) and need both a rolling/trailing mean time series and adjacent row-change analysis in a single low-cost call. It is ideal for creative production pipelines where no external data lookup or prediction is needed — just local analytical computation on your supplied dataset.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:48.836Z","isFirstParty":false,"canonicalSlug":"lighting-setups-trailing-mean-series-and-adjacent-row-changes-135f8f10"}