{"uid":"cap_YRrVZyijBem1yukychOep","slug":"lighting-setups-data-quality-audit-string-normalisation-adjacent-row-ca48eeba","name":"Lighting Setups Data Quality Audit + String Normalisation + Adjacent Row Changes","description":"Lighting setups — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied lighting setups records (light_count, render_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-creative-11-200?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_oZSprUsJ08vP-pgnO497A","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 three local analytical reports on lighting setup records: record quality audit, string normalisation, and adjacent row changes for up to 200 rows.","exampleAgentPrompt":"Can you audit the quality, normalise the string fields, and show me adjacent row changes for my lighting setup records? Here are up to 200 rows with fields row_id, asset_group, date, light_count, and render_seconds — I want to analyse the light_count field specifically.","exampleUseCases":[{"title":"Pre-render data quality check","prompt":"I have a batch of lighting setup records for our 3D render pipeline — up to 150 rows with light_count and render_seconds — can you run a quality audit, normalise the asset_group strings, and flag any adjacent row changes in light_count?"},{"title":"Spotting render time anomalies","prompt":"Can you check my lighting dataset for adjacent row changes in render_seconds, plus run a quality audit and string normalisation on the same rows? I want to see where render times jump between consecutive records."},{"title":"Asset group string cleanup","prompt":"My lighting records have inconsistent asset_group names across about 80 rows — can you normalise those strings, audit overall record quality, and also show me row-by-row changes in light_count?"}],"resultDescription":"Three bundled reports: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) a string normalisation report for text fields like asset_group; and (3) an adjacent row changes report showing delta values for the selected numeric field (light_count or render_seconds) between consecutive rows. All computed locally with no external lookups.","failureModes":["Rows array empty or exceeds 200 items — validation error","row_id missing or blank — required field error","date field does not match YYYY-MM-DD pattern — format validation error","light_count or render_seconds outside allowed numeric range — range error","Invalid field enum value (not light_count or render_seconds) — enum validation error","Payment not included or insufficient — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you need three simultaneous analytical reports on lighting setup records in a single low-cost call ($0.01 USDC): data quality auditing, string normalisation, and adjacent row change detection. Ideal for creative/rendering pipelines where you want to validate and clean a batch of up to 200 lighting records without any external API calls or live data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:54.630Z","isFirstParty":false,"canonicalSlug":"lighting-setups-data-quality-audit-string-normalisation-adjacent-row-ca48eeba"}