{"uid":"cap_A6KblZKNzOenu4g655OPg","slug":"lighting-setups-string-normalisation-numeric-distribution-951e3b08","name":"Lighting Setups — String Normalisation + Numeric Distribution","description":"Lighting setups — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-11-022?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_kPMYblkWLApaEUv7bb5Ko","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 numeric distribution analysis on lighting setup records (light_count, render_seconds) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run string normalisation and numeric distribution analysis on my lighting setup records? I have rows with light_count and render_seconds values across asset groups like 'group-a' and 'group-b' — I want to analyse the light_count field across up to 200 rows.","exampleUseCases":[{"title":"Profiling light counts across scenes","prompt":"I have a table of lighting setups from our renders, each with a row ID, date, asset group, light_count, and render_seconds. Can you run string normalisation on the asset group names and give me a numeric distribution report for the light_count field across all 150 rows?"},{"title":"Auditing render time distribution","prompt":"We've collected render timing data across different lighting configurations — can you analyse the numeric distribution of render_seconds for our lighting setup records and also normalise the asset group strings? There are about 80 rows total."},{"title":"QA check on lighting data before pipeline","prompt":"Before we feed this lighting data into our pipeline, can you normalise the string fields and check the numeric distribution of light_count across these 60 lighting setup records so I can spot any anomalies?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report covering the asset_group field, and (2) a numeric distribution report for the selected numeric field (light_count or render_seconds), including statistical measures such as min, max, mean, spread, and distribution characteristics, computed locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, light_count, render_seconds) causes schema rejection","Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure","Null-only numeric columns may produce degenerate distribution stats","Providing an invalid field enum value (not 'light_count' or 'render_seconds') causes an error"],"whenToPreferThis":"Choose this endpoint when you need quick, low-cost statistical profiling and string normalisation on structured lighting setup data (up to 200 rows) without requiring live lookups, predictions, or external data enrichment. Ideal for pre-pipeline QA, exploratory data analysis of 3D rendering job records, or batch audits of light count and render time distributions across asset groups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:01.451Z","isFirstParty":false,"canonicalSlug":"lighting-setups-string-normalisation-numeric-distribution-951e3b08"}