{"uid":"cap_MNmKWCqinX2U-9WyQuV5g","slug":"uv-layouts-record-quality-audit-string-normalisation-c1917c22","name":"UV Layouts — Record Quality Audit + String Normalisation","description":"UV layouts — Record quality audit + String normalisation: Record quality audit + String normalisation 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-06-001?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_Aae4MTPW16NyB5mvY9aa_","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 data quality and normalises strings for up to 200 UV layout records (island_count, occupied_percent) in two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my UV layout data? I have rows with fields like row_id, asset_group, date, island_count, and occupied_percent — here are up to 200 rows I need checked for data issues and normalised strings.","exampleUseCases":[{"title":"Pre-pipeline UV layout data validation","prompt":"Before I push my UV layout export into the render pipeline, can you audit the quality of these records and normalise the string fields? I have about 80 rows with island_count and occupied_percent values that I want checked for anomalies or formatting issues."},{"title":"Occupancy data cleanliness check","prompt":"I've got a batch of UV layout occupancy records — around 150 rows with asset_group, date, island_count, and occupied_percent — can you run a quality audit on them and flag any string inconsistencies or bad values?"},{"title":"Asset group string normalisation audit","prompt":"My UV layout dataset has inconsistent capitalisation and formatting in the asset_group field across 60 records. Can you run the string normalisation and quality audit reports so I know what needs fixing before I hand it off to the team?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit highlighting data issues, missing values, out-of-range entries, and anomalies across the supplied UV layout rows; and (2) a string normalisation report covering text field consistency and formatting issues — both generated locally without external lookups.","failureModes":["Empty rows array or missing required fields (row_id, date, island_count, occupied_percent) returns a validation error","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Payment not completed results in 402 response and no report generated","Malformed JSON body causes request rejection"],"whenToPreferThis":"Choose this endpoint when you need offline, deterministic data quality auditing and string normalisation specifically for UV layout records containing island_count and occupied_percent metrics. It is ideal when you want two bundled analytical reports (quality audit + string normalisation) at low cost ($0.01 USDC) without any live external lookups or predictions. Prefer it over general-purpose data tools when your dataset fits within 200 rows and is structured around UV layout asset groups with date-stamped numeric fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:55:51.846Z","isFirstParty":false,"canonicalSlug":"uv-layouts-record-quality-audit-string-normalisation-c1917c22"}