{"uid":"cap_qdso6c9foKZo8yYTwYcBq","slug":"lighting-setups-string-normalisation-exact-row-deduplication-057864eb","name":"Lighting Setups — String Normalisation + Exact Row Deduplication","description":"Lighting setups — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-11-020?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}}},"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_B6eMUx8MduJ4wSIJRz36n","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":"Normalises strings and deduplicates exact rows in lighting setup records containing light_count and render_seconds fields, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you clean up my lighting setup records by normalising the string fields and removing any exact duplicate rows? I have about 50 rows with asset groups, dates, light counts, and render seconds that need deduplication before I run my analysis.","exampleUseCases":[{"title":"Pre-analysis render data cleanup","prompt":"I have 120 lighting setup rows from our last rendering batch — each has a date, asset group, light count, and render seconds. Can you normalise the strings and strip out any exact duplicate rows so the data is clean before I do further analysis?"},{"title":"Studio asset group deduplication","prompt":"Our pipeline exported lighting configs for multiple asset groups and there are definitely duplicate entries in there. Can you run string normalisation and exact deduplication on these 80 rows and give me the two cleaned reports?"},{"title":"QA check on lighting pipeline output","prompt":"Before we hand this lighting dataset off to the compositing team, I need to verify there are no duplicate rows and that all string fields are consistently normalised — here are 35 records with light counts and render times, can you process them?"}],"resultDescription":"Two analytical reports covering the submitted lighting setup rows: one addressing string normalisation results and one covering exact row deduplication findings, processed locally with no external lookups. Reports summarise cleaned/normalised field values and identified duplicate rows within the supplied dataset of up to 200 records.","failureModes":["Payload exceeds 200 rows — request rejected with validation error","Missing required fields (row_id, date, light_count, render_seconds) cause schema validation failure","Malformed date strings not matching YYYY-MM-DD pattern rejected","Numeric fields outside allowed range (-1e12 to 1e12) cause validation error","Empty rows array (minItems: 1 not met) rejected"],"whenToPreferThis":"Choose this endpoint when you have lighting setup records (with light_count and render_seconds) that need both string normalisation and exact duplicate removal in a single low-cost call. Ideal for pre-processing small-to-medium batches (up to 200 rows) of render pipeline or 3D lighting configuration data before downstream analysis, when no live data lookup or external action is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:49:01.159Z","isFirstParty":false,"canonicalSlug":"lighting-setups-string-normalisation-exact-row-deduplication-057864eb"}