{"uid":"cap_pYnwPEt5qKTl7vtgobno3","slug":"uv-layouts-data-quality-audit-string-normalisation-daily-sum-series-ced93716","name":"UV Layouts Data Quality Audit, String Normalisation & Daily Sum Series","description":"UV layouts — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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-06-198?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_Z1ACeB2jygMhsIYl1PPwA","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 offline analytical reports on UV layout records — record quality audit, string normalisation, and daily sum series — for up to 200 rows of island_count and occupied_percent data.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and daily sum series on my UV layout data? Here are 4 rows: row-1 on 2026-10-01 in group-a with island_count=10 and occupied_percent=1, row-2 on 2026-10-02 in group-b with island_count=20 and occupied_percent=2, row-3 on 2026-10-03 in group-a with island_count=15 and occupied_percent=3, row-4 on 2026-10-04 in group-b with island_count=30 and occupied_percent=4 — use island_count as the primary field.","exampleUseCases":[{"title":"Occupancy data quality check","prompt":"I have a batch of UV layout records with island_count and occupied_percent values across several asset groups — can you audit them for quality issues, normalise any strings, and give me daily sums for island_count? I'll supply up to 50 rows dated from 2026-10-01 onwards."},{"title":"Daily sum series for occupied percent","prompt":"Run a daily sum series on my UV layout table using occupied_percent as the field — I have 30 rows across group-a and group-b from October 2026, and I also want the record quality audit and string normalisation reports at the same time."},{"title":"Batch UV layout validation before reporting","prompt":"Before I send my UV layout dataset to the client, can you run all three reports — record quality audit, string normalisation, and daily sum series — on my 120 rows? The field I care about most is island_count."}],"resultDescription":"Returns three independent analytical reports for the supplied UV layout rows: (1) a record quality audit flagging anomalies or missing values, (2) a string normalisation report standardising text fields like asset_group, and (3) a daily sum series aggregating the chosen numeric field (island_count or occupied_percent) by date. All reports are computed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Rows missing required fields (row_id, date, island_count, occupied_percent) are rejected","Dates not matching YYYY-MM-DD pattern cause schema validation failure","Invalid field enum value (anything other than island_count or occupied_percent) results in an error","Empty rows array is rejected by minItems:1 constraint","Payment of 0.01 USDC not included causes HTTP 402 response"],"whenToPreferThis":"Choose this endpoint when you need three bundled offline analytical reports — quality audit, string normalisation, and daily aggregation — on UV layout records in a single low-cost call. It is ideal for pre-reporting data validation pipelines, occupancy dataset cleaning, and time-series summarisation where no live lookup or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T06:54:42.030Z","isFirstParty":false,"canonicalSlug":"uv-layouts-data-quality-audit-string-normalisation-daily-sum-series-ced93716"}