{"uid":"cap_8BpN8175Lti2P6aOdgJ-K","slug":"lighting-setups-string-normalisation-category-frequencies-f75db1df","name":"Lighting Setups — String Normalisation + Category Frequencies","description":"Lighting setups — String normalisation + Category frequencies: String normalisation + Category frequencies 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-11-024?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_jUFlGZgsD9UsNjOsiywOs","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 string fields and computes category frequency counts for lighting setup records containing light_count and render_seconds fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have a batch of lighting setup records — each with a row ID, asset group, date, light count, and render seconds — can you run string normalisation and category frequency analysis on them? I've got about 50 rows across groups like 'studio-A' and 'outdoor-B'.","exampleUseCases":[{"title":"Audit 3D scene lighting asset groups","prompt":"I have 120 lighting setup records from our render pipeline, each tagged with an asset group, date, light count, and render seconds — can you normalise the asset group strings and give me a frequency breakdown of how many setups belong to each group?"},{"title":"Standardise lighting config naming across projects","prompt":"Our team has been inconsistently naming asset groups in our lighting data — can you run string normalisation on these 80 lighting setup rows and also tell me the category frequencies so I can see which groups dominate?"},{"title":"Summarise render workload by lighting category","prompt":"I want to understand the distribution of our lighting setups across asset categories — here are 200 rows with row IDs, dates, light counts, and render seconds. Please normalise the strings and compute how frequently each category appears."}],"resultDescription":"Two analytical reports: (1) normalised string values for the asset_group and other string fields across all submitted rows, and (2) category frequency counts showing how many records fall into each distinct category/asset group. Results cover up to 200 input rows processed entirely locally with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, light_count, render_seconds) cause row-level errors","Invalid date format (not YYYY-MM-DD) causes parsing failure","Null or out-of-range numeric values for light_count or render_seconds may produce incomplete analytics","Payment of 0.01 USDC not provided or rejected halts processing"],"whenToPreferThis":"Choose this endpoint when you have up to 200 lighting setup records and need both string field normalisation and category frequency counts in a single low-cost call. It is ideal for 3D rendering pipelines or asset management workflows where asset group naming is inconsistent and you want a quick frequency audit without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T12:41:24.446Z","isFirstParty":false,"canonicalSlug":"lighting-setups-string-normalisation-category-frequencies-f75db1df"}