{"uid":"cap_dAkgQiagc6pzmrC_LRd9x","slug":"lighting-setups-record-quality-audit-string-normalisation-daily-sum-e5133391","name":"Lighting Setups — Record Quality Audit + String Normalisation + Daily Sum Series","description":"Lighting setups — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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-11-198?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_qp5ouwgbLFNpSwEsP_uEf","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 daily sum series) on up to 200 lighting setup rows containing light_count and render_seconds fields.","exampleAgentPrompt":"Can you audit the data quality, normalise the asset group strings, and compute the daily sum series for light_count across these lighting setup records — I've got about 50 rows with row_id, asset_group, date, light_count, and render_seconds?","exampleUseCases":[{"title":"Pre-pipeline lighting data quality check","prompt":"I have 120 rows of lighting setup logs with light_count and render_seconds — can you run a record quality audit on them so I can spot any bad or missing values before I load them into our data warehouse?"},{"title":"Daily render-seconds totals for billing","prompt":"I need the daily sum series for render_seconds across these lighting setup records for our October 2026 renders — there are about 80 rows grouped by asset_group and I want to see the totals per day."},{"title":"Normalise asset group names in lighting dataset","prompt":"Some of our lighting asset group labels are inconsistently cased or formatted across these 60 records — can you run string normalisation on them so everything is standardised before we report?"}],"resultDescription":"Returns three independent reports: (1) a record quality audit flagging missing, out-of-range, or malformed values; (2) a string normalisation report cleaning and standardising asset_group and other string fields; and (3) a daily sum series aggregating the selected numeric field (light_count or render_seconds) by date across all supplied rows.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — request rejected with item limit error","Invalid date format (not YYYY-MM-DD) — row-level validation failure","Field selector not one of 'light_count' or 'render_seconds' — enum validation error","Numeric values outside allowed range (±1,000,000,000,000) — rejection or null treatment"],"whenToPreferThis":"Choose this endpoint when you need all three analytical operations — quality audit, string normalisation, and daily aggregation — applied together to lighting setup records in a single cost-efficient call ($0.01 for all three reports). Ideal for pre-pipeline data validation workflows in 3D rendering or creative production pipelines where light_count and render_seconds are the key metrics. Not suitable if you need live data lookup, predictive modelling, or external integrations.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:56:12.884Z","isFirstParty":false,"canonicalSlug":"lighting-setups-record-quality-audit-string-normalisation-daily-sum-e5133391"}