{"uid":"cap_3cjK8L5jfsiDp4uLwIRUQ","slug":"pressure-observations-record-quality-audit-and-string-normalisation-5279d476","name":"Pressure Observations Record Quality Audit and String Normalisation","description":"Pressure observations — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied pressure observations records (pressure_hpa, elevation_m). 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-weather-05-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","pressure_hpa","elevation_m"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"elevation_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"pressure_hpa":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","elevation_m":1,"pressure_hpa":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","elevation_m":2,"pressure_hpa":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","elevation_m":3,"pressure_hpa":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","elevation_m":4,"pressure_hpa":30,"station_group":"group-b"}],"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_nTf1zIytWtHp3Tkt_xrWO","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 rows of atmospheric pressure observation records containing pressure_hpa and elevation_m fields, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on these pressure observation rows — I have station group 'WEST-A', dates from 2025-01-01 to 2025-01-04, with pressure_hpa values like 1013.2 and elevation_m values around 250? I want both the quality audit and the normalisation report.","exampleUseCases":[{"title":"Weather station data pipeline QA","prompt":"I've got a batch of pressure readings from three station groups — 'NORTH-01', 'SOUTH-02', and 'EAST-03' — collected daily from 2025-03-01 to 2025-03-05, with pressure_hpa ranging from 980 to 1025 and elevation_m between 0 and 500. Can you run a quality audit and string normalisation on all of them so I can flag bad records before ingesting into our pipeline?"},{"title":"Cleaning legacy barometric records","prompt":"I have 150 legacy barometric pressure records from station group 'ARCHIVE-LEGACY' with dates going back to 2020-06-01 through 2020-11-25. Some elevation_m values might be null or oddly formatted strings. Please audit the record quality and normalise the strings so I know what needs fixing."},{"title":"Cross-station pressure data validation","prompt":"Before I merge pressure observation data from station groups 'ALPINE-HIGH' and 'VALLEY-LOW' into our reporting database, can you check the quality of these 80 rows — they span 2024-07-01 to 2024-09-28 with pressure_hpa and elevation_m readings — and give me both the quality audit and string normalisation reports?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying issues such as out-of-range values, nulls, duplicates, or malformed fields across the pressure_hpa and elevation_m columns; and (2) a string normalisation report for text fields like station_group and date. Both reports are generated using local analytical engines with no external lookups or live data access.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, station_group, date, pressure_hpa, elevation_m) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection","Empty rows array (minItems: 1 not met) returns error","Payment of 0.01 USDC not provided causes HTTP 402 response","Non-numeric values for pressure_hpa or elevation_m outside allowed range cause rejection"],"whenToPreferThis":"Choose this endpoint when you need both a structured quality audit and string normalisation on atmospheric pressure observation records in a single call. It is best suited for data pipeline pre-processing, legacy data cleaning, or batch validation of up to 200 rows of pressure/elevation records. Prefer this over generic validation tools when your data specifically contains pressure_hpa and elevation_m fields grouped by station and date.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:22.278Z","isFirstParty":false,"canonicalSlug":"pressure-observations-record-quality-audit-and-string-normalisation-5279d476"}