{"uid":"cap_ddsIYYzSzjWn9Nmcl7NDT","slug":"uv-layouts-numeric-distribution-date-by-category-pivot-0178fee2","name":"UV Layouts — Numeric Distribution + Date by Category Pivot","description":"UV layouts — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot for supplied uv layouts records (island_count, occupied_percent). 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-06-083?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_SE_HaBcyZ8rSAMeM5jLLB","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":"Analyzes supplied UV layout records (island_count, occupied_percent) producing two reports: a numeric distribution analysis and a date-by-category pivot, using local analytical engines on up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and date-by-category pivot on these UV layout records? I have 4 rows with island_count and occupied_percent values across two asset groups (group-a and group-b) from October 2026 — use island_count as the primary field.","exampleUseCases":[{"title":"UV island density distribution audit","prompt":"I have 150 UV layout records with island_count and occupied_percent values across several asset groups — can you compute a numeric distribution for island_count and also pivot it by date and category so I can see how density varies over time?"},{"title":"Occupancy pattern pivot by asset group","prompt":"Run a date-by-category pivot and a numeric distribution on my UV layout dataset using occupied_percent as the field — I've got about 80 rows with dates ranging from January to March 2025 across three asset groups."},{"title":"UV layout QA summary for pipeline review","prompt":"I need two analytical reports on my UV layout data for a pipeline QA check: a numeric distribution and a date-by-category pivot, using island_count. Here are my 50 rows with row IDs, dates, and asset group labels."}],"resultDescription":"Returns two independent analytical reports computed locally on the supplied data: (1) a numeric distribution report for the selected field (island_count or occupied_percent) showing statistical spread and frequency, and (2) a date-by-category pivot summarizing values broken down by date and asset_group category — all derived from the up-to-200 input rows with no external data access.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required row fields (row_id, asset_group, date, island_count, occupied_percent) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Empty rows array — rejected due to minItems:1 constraint","Invalid field enum value (must be island_count or occupied_percent) — schema error","Payment of 0.01 USDC not provided or rejected — 402 response"],"whenToPreferThis":"Choose this endpoint when you have UV layout records with island_count and/or occupied_percent metrics and need both a numeric distribution and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical summaries on supplied data without needing external data lookups, predictions, or live connections. Best suited for datasets up to 200 rows where two bundled analytical reports are needed simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T06:54:24.546Z","isFirstParty":false,"canonicalSlug":"uv-layouts-numeric-distribution-date-by-category-pivot-0178fee2"}