{"uid":"cap_nH3I7Ugz6jm2sLM7kjYmA","slug":"lighting-setups-record-quality-audit-iqr-outlier-flags-3f649fcb","name":"Lighting Setups Record Quality Audit + IQR Outlier Flags","description":"Lighting setups — Record quality audit + IQR outlier flags: Record quality audit + IQR outlier flags 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-11-014?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_1tINV9ADdG28t98fjZcDD","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":"Audits data quality and flags IQR-based outliers for up to 200 lighting setup records containing light_count and render_seconds fields, producing two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and IQR outlier check on my lighting setup data — I have about 50 rows with light_count and render_seconds values across two asset groups, and I want to flag any bad or anomalous rows, checking the light_count field?","exampleUseCases":[{"title":"Flagging bad render job records","prompt":"I've got a batch of 80 lighting setup records from last month's renders — can you audit them for data quality issues and flag any rows where render_seconds looks like a statistical outlier using IQR?"},{"title":"Pre-pipeline data validation for lighting assets","prompt":"Before I load these 150 lighting configuration rows into our pipeline, can you run a quality audit and IQR outlier detection on the light_count field to catch any obviously wrong values?"},{"title":"Comparing outliers across asset groups","prompt":"I have render data split across two asset groups — about 120 rows total — can you audit the record quality and flag IQR outliers in the light_count column so I can see which groups have the most anomalies?"}],"resultDescription":"Two independent analytical reports per call: (1) a record quality audit summarizing completeness, format issues, and invalid values across the supplied rows, and (2) IQR-based outlier flags identifying which row_ids have statistically anomalous values in the selected field (light_count or render_seconds). No external lookups or predictions are made — all analysis is performed locally on the supplied data.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, light_count, render_seconds) cause validation failure","Invalid date format (non-YYYY-MM-DD) triggers schema rejection","Invalid field selector value (not 'light_count' or 'render_seconds') causes error","All-null values in selected field may produce degenerate or empty outlier report","Payment not included or insufficient — x402 payment required at $0.01 USDC"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical data quality auditing and IQR outlier detection specifically on lighting setup records (light_count, render_seconds) without any external API calls or predictions. Ideal for pre-pipeline validation of 3D rendering datasets, batch QA of asset group records, or when you need two complementary reports (quality + outliers) in a single low-cost call. Not suitable for real-time monitoring, predictive analytics, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:51.078Z","isFirstParty":false,"canonicalSlug":"lighting-setups-record-quality-audit-iqr-outlier-flags-3f649fcb"}