{"uid":"cap_OgOnpWq1DXDVHbkxPbukX","slug":"lighting-setups-exact-row-deduplication-date-by-category-pivot-f81c777e","name":"Lighting Setups — Exact Row Deduplication + Date by Category Pivot","description":"Lighting setups — Exact row deduplication + Date by category pivot: Exact row deduplication + 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-11-052?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_YoS7xE8p8nB-aNG9xeMbk","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":"Deduplicates exact duplicate rows and produces a date-by-category pivot table from supplied lighting setup records (light_count, render_seconds).","exampleAgentPrompt":"Can you run exact row deduplication and a date-by-category pivot on my lighting setup data? I have rows with asset groups like 'group-a' and 'group-b', dates in 2026, and I want to pivot on light_count — here are up to 200 rows.","exampleUseCases":[{"title":"Cleaning duplicate lighting session logs","prompt":"I have a CSV of lighting setup records with row_id, asset_group, date, light_count, and render_seconds — some rows are exact duplicates. Can you deduplicate them and also give me a pivot of light_count by date and asset group?"},{"title":"Pivot render time across asset groups","prompt":"Take these lighting setup records and run a date-by-category pivot on render_seconds so I can see how render time breaks down across my asset groups over time, and also strip out any exact duplicate rows first."},{"title":"Auditing creative pipeline lighting data","prompt":"I'm auditing our lighting setup logs from October 2026. Can you deduplicate the records exactly and pivot the light_count values by date and category so I can spot patterns across group-a and group-b?"}],"resultDescription":"Returns two analytical reports: (1) a deduplicated version of the input rows with exact duplicate records removed, and (2) a date-by-category pivot table showing the selected numeric field (light_count or render_seconds) broken down by date and asset_group. Both reports are computed locally on the supplied data up to 200 rows.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, asset_group) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Numeric fields out of allowed range cause input rejection","Empty rows array returns an error","Invalid field enum value (not light_count or render_seconds) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both exact row deduplication and a date-by-category pivot in a single call for lighting setup records specifically containing light_count and render_seconds fields. It is ideal for small-to-medium datasets (up to 200 rows) where you want two bundled analytical reports at minimal cost ($0.01 USDC) without requiring external data access or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T12:41:26.649Z","isFirstParty":false,"canonicalSlug":"lighting-setups-exact-row-deduplication-date-by-category-pivot-f81c777e"}