{"uid":"cap_0FWSwrqfCUY9qSCxG7V9K","slug":"lighting-setups-string-normalisation-and-secondary-measure-weighted-c7219f2a","name":"Lighting Setups String Normalisation and Secondary-Measure Weighted Mean","description":"Lighting setups — String normalisation + Secondary-measure weighted mean: String normalisation + 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-11-034?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_51HBgd75qAJaND71Z5dk8","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":"Performs string normalisation and secondary-measure weighted mean analytics on lighting setup records (light_count, render_seconds) for up to 200 rows, returning two reports.","exampleAgentPrompt":"Can you run string normalisation and a secondary-measure weighted mean on my lighting setup records? I have 4 rows — group-a on 2026-10-01 with 10 lights and 1 render second, group-b on 2026-10-02 with 20 lights and 2 render seconds, group-a on 2026-10-03 with 15 lights and 3 render seconds, group-b on 2026-10-04 with 30 lights and 4 render seconds — and I want the analysis run on the light_count field.","exampleUseCases":[{"title":"Render time weighted average by asset group","prompt":"I have a batch of lighting rig records across two asset groups — can you compute the weighted mean of render_seconds weighted by light_count for all 8 rows I'm uploading, and also give me the string normalisation report?"},{"title":"CG studio lighting audit analytics","prompt":"We have up to 200 rows of lighting setup data from our CG pipeline with fields like light_count and render_seconds per asset group and date — run both the string normalisation and secondary-measure weighted mean reports on the render_seconds field for me."},{"title":"Comparing light counts across scene groups","prompt":"Can you normalize and compute the weighted mean for light_count across these 50 lighting setup records I have, grouped by asset_group, covering shoots from October 2026?"}],"resultDescription":"Returns two analytical reports for the supplied lighting setup rows: (1) a string normalisation report on asset identifiers/groups, and (2) a secondary-measure weighted mean computed over the selected numeric field (light_count or render_seconds), all computed locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, light_count, render_seconds) cause schema rejection","Invalid date format (not YYYY-MM-DD) causes pattern validation failure","Null values in the selected measure field may affect weighted mean calculation","Field enum value not in [light_count, render_seconds] causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a secondary-measure weighted mean computed together on lighting setup data (light_count, render_seconds) in a single low-cost call, with no need for external data lookups, predictions, or live enrichment. Ideal for CG/rendering pipeline analytics on batches up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:49:38.340Z","isFirstParty":false,"canonicalSlug":"lighting-setups-string-normalisation-and-secondary-measure-weighted-c7219f2a"}