{"uid":"cap_VYFIlOxt4A_jwYNNccOKl","slug":"lighting-setups-string-normalisation-adjacent-row-changes-64897678","name":"Lighting Setups — String Normalisation + Adjacent Row Changes","description":"Lighting setups — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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-11-029?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_HevyeSD8iJaQ71wD_8jUO","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":"Runs two local analytical reports on lighting setup records: string normalisation and adjacent row changes for light_count or render_seconds.","exampleAgentPrompt":"Run string normalisation and adjacent row changes reports on my lighting setup data — I have 4 rows with dates from 2026-10-01 to 2026-10-04, asset groups group-a and group-b, and I want to analyze the light_count field.","exampleUseCases":[{"title":"Render pipeline lighting audit","prompt":"I have a list of lighting setups from our render pipeline — 50 rows with asset groups and light counts across different dates. Can you run the string normalisation and adjacent row changes reports on the light_count field so I can spot any data inconsistencies and see how light counts shift between consecutive setups?"},{"title":"Render time delta detection","prompt":"Take these 120 lighting setup records with render_seconds values and run the adjacent row changes and string normalisation reports on render_seconds — I want to see where render times jump significantly between consecutive rows."},{"title":"Asset group name cleanup","prompt":"I've got 80 rows of lighting setup data with messy asset_group names and light_count values. Can you run the two analytical reports — string normalisation and adjacent row changes — on the light_count field so I can clean up the strings and understand the row-to-row shifts?"}],"resultDescription":"Returns two analytical reports for up to 200 supplied lighting setup rows: (1) string normalisation results standardising text fields, and (2) adjacent row change calculations showing delta values between consecutive rows for the selected numeric field (light_count or render_seconds).","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, asset_group, light_count, render_seconds) on any row causes validation error","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside the allowed range cause rejection","Invalid field enum value (not light_count or render_seconds) causes error","Empty rows array returns error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 lighting setup records (with light_count and render_seconds fields) and need both string normalisation and adjacent row change analysis in a single low-cost call ($0.01 USDC). It performs fully local analytical computation with no external lookups, predictions, or professional assessments — ideal for batch pre-processing or QA of lighting data in creative/rendering pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T06:50:25.540Z","isFirstParty":false,"canonicalSlug":"lighting-setups-string-normalisation-adjacent-row-changes-64897678"}