{"uid":"cap_tQ1WiGsfuOkLWPrj4V-OL","slug":"uv-layouts-data-quality-audit-string-normalisation-category-frequencies-79fc301c","name":"UV Layouts Data Quality Audit, String Normalisation & Category Frequencies","description":"UV layouts — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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-06-195?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}}},"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_p5b0ZDKqTm7sgfxz1rnWn","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 analytical reports on UV layout records (island_count, occupied_percent): a record quality audit, string normalisation, and category frequency analysis — all on user-supplied data up to 200 rows.","exampleAgentPrompt":"Can you run a data quality audit, string normalisation, and category frequency breakdown on my UV layout records? I have up to 50 rows with fields like row_id, asset_group, date, island_count, and occupied_percent — here's the data.","exampleUseCases":[{"title":"UV layout export QA before pipeline ingestion","prompt":"Before I push this batch of UV layout records into our pipeline, can you audit them for quality issues, normalise the asset_group strings, and show me how often each category appears? I have about 80 rows with island_count and occupied_percent values."},{"title":"Identifying dirty string data in asset groups","prompt":"I've got a UV layout dataset with inconsistent asset_group labels across 120 rows — can you normalise those strings and also flag any records that have data quality problems in the island_count or occupied_percent columns?"},{"title":"Category frequency summary for UV layout reporting","prompt":"Can you give me a category frequency report for my UV layout data? I want to know how many records fall into each asset_group, plus a quality audit across all 150 rows — island_count and occupied_percent are the key numeric fields."}],"resultDescription":"Three reports returned together: (1) a record quality audit flagging issues like nulls, out-of-range values, or malformed dates across all submitted rows; (2) string normalisation output for text fields like asset_group; (3) category frequency counts showing how often each asset_group value appears. All computed locally on the supplied data — no external lookups or predictions.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, asset_group, date, island_count, occupied_percent) cause validation errors","Date field not matching YYYY-MM-DD pattern causes schema rejection","Empty rows array rejected (minItems: 1)","Numeric values outside the allowed range cause validation errors"],"whenToPreferThis":"Choose this endpoint when you have UV layout records with island_count and occupied_percent fields and need all three reports (quality audit, string normalisation, category frequencies) in a single low-cost call. It is ideal for pre-pipeline data checks on batches up to 200 rows where no live data lookup or external prediction is required.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T00:44:49.015Z","isFirstParty":false,"canonicalSlug":"uv-layouts-data-quality-audit-string-normalisation-category-frequencies-79fc301c"}