{"uid":"cap_ZoKgNFPDDPRufiSl0c_7n","slug":"lighting-setups-record-quality-audit-string-normalisation-numeric-38e21e71","name":"Lighting Setups — Record Quality Audit + String Normalisation + Numeric Distribution","description":"Lighting setups — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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-11-193?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_IvTfH-gaJCw2ljMsMgoYN","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 (record quality audit, string normalisation, and numeric distribution) on up to 200 rows of lighting setup data with light_count and render_seconds fields.","exampleAgentPrompt":"Can you audit the quality of my lighting setup records, normalise the string fields, and give me a numeric distribution for light_count? Here are my rows: row-1 on 2026-10-01, asset_group group-a, light_count 10, render_seconds 1; row-2 on 2026-10-02, asset_group group-b, light_count 20, render_seconds 2.","exampleUseCases":[{"title":"Pre-render data quality check","prompt":"I have a batch of 150 lighting setup records with light_count and render_seconds — can you run a quality audit on them to flag any missing or malformed values before we kick off the render job?"},{"title":"Normalising asset group strings","prompt":"Our lighting dataset has inconsistent capitalisation and whitespace in the asset_group field across about 80 rows — can you run string normalisation on those records so we have clean labels?"},{"title":"Numeric distribution of render times","prompt":"Can you give me a numeric distribution report for the render_seconds field across all our lighting configs so I can see how spread out the render times are across different asset groups?"}],"resultDescription":"Three independent reports: (1) a record quality audit flagging completeness, nulls, and anomalies per row; (2) a string normalisation report standardising text fields like asset_group; (3) a numeric distribution summary (min, max, mean, percentiles, histogram) for the selected numeric field (light_count or render_seconds). All computed locally from supplied data with no external lookups.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows supplied — request rejected with max-items error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","row_id missing or blank — required field error","field enum value not one of light_count or render_seconds — enum validation error","Numeric values outside allowed range — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 lighting setup records (with light_count and render_seconds fields) and need all three of record quality auditing, string normalisation, and numeric distribution in a single low-cost call. Ideal for pre-render data validation pipelines, creative asset cataloguing workflows, or ad-hoc profiling of 3D lighting configurations where no external lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:33.949Z","isFirstParty":false,"canonicalSlug":"lighting-setups-record-quality-audit-string-normalisation-numeric-38e21e71"}