{"uid":"cap_Mwrbq2aya7R7ECkq4FmAz","slug":"lighting-setups-data-quality-pipeline-record-audit-string-f873db52","name":"Lighting Setups Data Quality Pipeline: Record Audit + String Normalisation + Exact Row Deduplication","description":"Lighting setups — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication 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-11-191?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}}},"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_PDUhNq7q_0CRUxyBhNuU5","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 up to 200 lighting setup records — a record quality audit, string normalisation, and exact row deduplication — using light_count and render_seconds as the core measures.","exampleAgentPrompt":"Can you audit, normalise, and deduplicate my lighting setup records? I have rows with fields like row_id, asset_group, date, light_count, and render_seconds — here are up to 200 rows I need cleaned and quality-checked.","exampleUseCases":[{"title":"Quality audit before render pipeline ingestion","prompt":"Before I import these lighting setup records into our render pipeline, can you run a quality audit on them? I have about 150 rows with light_count and render_seconds values across multiple asset groups and I need to know which records have issues."},{"title":"Deduplicating lighting configuration exports","prompt":"I exported our lighting configurations and I think there are exact duplicate rows in there. Can you deduplicate this dataset of around 80 lighting setup records that each have a row_id, asset_group, date, light_count, and render_seconds?"},{"title":"Normalising asset group strings across studio projects","prompt":"Our asset_group names are inconsistently formatted across different studio projects in our lighting data. Can you normalise the strings across these 120 lighting setup rows so everything is standardised?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging completeness and validity issues in the lighting setup rows, (2) a string normalisation report showing standardised versions of text fields like asset_group, and (3) an exact row deduplication report identifying and removing fully duplicate records — all computed locally without external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, asset_group, date, light_count, render_seconds) on any row","Date field not matching YYYY-MM-DD pattern — validation error","row_id empty or blank — minLength constraint failure","Numeric fields outside allowed range (±1,000,000,000,000) — schema rejection","Payment of 0.01 USDC not fulfilled — 402 response before processing"],"whenToPreferThis":"Choose this endpoint when you have lighting setup records (with light_count and render_seconds measures) that need simultaneous quality auditing, string normalisation, and exact deduplication in a single call for a flat fee. It is ideal for pre-pipeline data cleaning of small-to-medium creative/render datasets (up to 200 rows) where you want three reports for the price of one without any external data lookups or ML-based predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:48.565Z","isFirstParty":false,"canonicalSlug":"lighting-setups-data-quality-pipeline-record-audit-string-f873db52"}