{"uid":"cap_RH-_UTogLN_Td_n2-6zzG","slug":"uv-layouts-record-quality-audit-string-normalisation-date-by-category-c25229cc","name":"UV Layouts — Record Quality Audit + String Normalisation + Date by Category Pivot","description":"UV layouts — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied uv layouts records (island_count, occupied_percent). 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-06-206?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","island_count","occupied_percent"],"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},"island_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"occupied_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","island_count":10,"occupied_percent":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","island_count":20,"occupied_percent":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","island_count":15,"occupied_percent":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","island_count":30,"occupied_percent":4}],"maxItems":200,"minItems":1},"field":{"enum":["island_count","occupied_percent"],"type":"string","default":"island_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_4iID7zgmiHbB2iLVlMzv3","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 date-by-category pivot) on up to 200 rows of UV layout data containing island_count and occupied_percent fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and date-by-category pivot on my UV layout data? I have 4 rows with island_count values, and I want to focus the pivot on the island_count field — here are the records: row-1 for group-a on 2026-10-01 with island_count 10 and occupied_percent 1, row-2 for group-b on 2026-10-02 with island_count 20 and occupied_percent 2.","exampleUseCases":[{"title":"UV Layout Data Quality Review","prompt":"I have a batch of UV layout records with island_count and occupied_percent values for two asset groups across several dates — can you run a record quality audit on them and flag any issues like missing values or out-of-range numbers?"},{"title":"Category Pivot for UV Asset Groups","prompt":"Take my UV layout dataset with rows for group-a and group-b across October 2026 and generate a pivot of island_count values by date and asset_group so I can see how each group trends over time."},{"title":"String Normalisation for UV Layout Records","prompt":"My UV layout data has asset_group labels that may have inconsistent casing or whitespace — can you run string normalisation on the records and give me a cleaned-up report?"}],"resultDescription":"Three independent analytical reports on the supplied UV layout rows: (1) a record quality audit identifying completeness, range, and consistency issues; (2) a string normalisation report cleaning and standardising text fields; and (3) a date-by-category pivot summarising the selected numeric field (island_count or occupied_percent) broken down by asset_group and date. All processing is local with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Missing required fields (row_id, asset_group, date, island_count, occupied_percent) — validation error","Invalid date format (must match YYYY-MM-DD) — schema validation failure","Field selector not one of 'island_count' or 'occupied_percent' — enum validation error","Payment of 0.01 USDC not provided or failed — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously quality-audit, normalise, and pivot a small-to-medium UV layout dataset (up to 200 rows) in a single low-cost call. It is ideal for offline/local analytical processing of UV layout records without requiring any external data lookup, live prediction, or professional assessment. Prefer it over single-report alternatives when you need all three report types bundled for $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:04.994Z","isFirstParty":false,"canonicalSlug":"uv-layouts-record-quality-audit-string-normalisation-date-by-category-c25229cc"}