{"uid":"cap_Wkx1TnCQEc4OSh6FbYQxP","slug":"uv-layouts-data-quality-audit-string-normalisation-numeric-interval-85c39763","name":"UV Layouts Data Quality Audit, String Normalisation & Numeric Interval Filter","description":"UV layouts — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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-06-197?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_ypYSlkfs4j0RfhcUpaY_x","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":"Audits record quality, normalises strings, and filters by numeric interval for UV layout records containing island_count and occupied_percent fields — up to 200 rows, 3 bundled reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric interval filter on these UV layout records — I have about 50 rows with island_count and occupied_percent fields — and filter island_count between 0 and 100?","exampleUseCases":[{"title":"UV layout pipeline data validation","prompt":"I've got 120 UV layout records from our last export with island_count and occupied_percent fields. Can you audit them for quality issues, normalise the string fields like asset_group, and filter to only rows where island_count is between 5 and 500?"},{"title":"Occupied percent range quality check","prompt":"Run a quality audit and numeric filter on these 80 UV layout rows — I want to flag any records where occupied_percent falls outside 0 to 100, and also clean up the string fields."},{"title":"Asset group string cleanup before import","prompt":"Before I import these 200 UV layout rows into our system, can you audit record quality, normalise the asset_group and row_id strings, and filter out any entries where island_count is below 1?"}],"resultDescription":"Returns 3 independent analytical reports for the supplied UV layout rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report for text fields such as asset_group; and (3) a numeric interval filter report identifying rows where the chosen field (island_count or occupied_percent) falls within the specified minimum–maximum range. All analysis is performed locally on the submitted data with no external lookups.","failureModes":["Empty rows array — minimum 1 row required","More than 200 rows submitted — exceeds maximum batch size","Invalid date format — must match YYYY-MM-DD pattern","row_id missing or empty — required field","minimum greater than maximum — invalid interval configuration","Numeric values outside allowed range (-1e12 to 1e12)","field enum value not one of island_count or occupied_percent"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality audit, string normalisation, and numeric range filtering — on UV layout tabular data with island_count and occupied_percent metrics, in a single low-cost call. It is best suited for offline/batch validation of exported or pipeline data rather than real-time or predictive analytics. Prefer this over separate single-purpose endpoints when you want all three reports in one round-trip for up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:50.303Z","isFirstParty":false,"canonicalSlug":"uv-layouts-data-quality-audit-string-normalisation-numeric-interval-85c39763"}