{"uid":"cap_tgOXiBUKVzq-tkNfcWjPK","slug":"orthogonal-hourly-relative-humidity-api-831a7b9c","name":"Orthogonal Hourly Relative Humidity API","description":"Hourly relative humidity as a percentage (0-100%) | ERROR: Unable to calculate price.","url":"https://x402.orthogonal.com/precip/api/v1/relative-humidity-hourly","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","properties":{"end":{"type":"string","default":"2025-10-31","example":"2025-10-31"},"start":{"type":"string","default":"2025-10-01","example":"2025-10-01"},"format":{"type":"string","default":"json","description":"Output format: `geojson`, `json` or `csv`"},"latitude":{"type":"string","default":"37.75750,42.35355,29.97991","example":"37.75750,42.35355,29.97991","description":"Comma-separated list of latitude coordinates (WGS84)"},"longitude":{"type":"string","default":"-122.42616,-71.06053,-90.07447","example":"-122.42616,-71.06053,-90.07447","description":"Comma-separated list of longitude coordinates (WGS84)"},"timeZoneId":{"type":"string","default":"America/Chicago","example":"America/Chicago","description":"IANA timezone identifier for localizing timestamps"}}}},"additionalProperties":false}}},"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_PeEtKgb9qVmkKPSLw-yX7","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":"Returns hourly relative humidity percentages (0-100%) for one or more geographic coordinates over a specified date range","exampleAgentPrompt":"Can you get me the hourly relative humidity readings for San Francisco (37.7575, -122.42616) from October 1 to October 31, 2025, in the America/Los_Angeles timezone, as JSON?","exampleUseCases":[{"title":"Agricultural irrigation scheduling","prompt":"Pull me the hourly relative humidity data for our farm in New Orleans (29.97991, -90.07447) for all of October 2025 using the America/Chicago timezone — I need to plan our irrigation schedule around low-humidity windows."},{"title":"Multi-city HVAC comfort analysis","prompt":"Get me hourly relative humidity readings for San Francisco, Boston, and New Orleans — coordinates 37.75750/-122.42616, 42.35355/-71.06053, and 29.97991/-90.07447 — from October 1 to October 31, 2025, so I can compare indoor comfort levels across our office locations."},{"title":"Historical humidity trend research","prompt":"I need the hourly relative humidity data for Chicago (41.8781, -87.6298) from September 1 to September 30, 2025 in America/Chicago time, formatted as CSV for my climate research spreadsheet."}],"resultDescription":"A JSON, GeoJSON, or CSV response containing hourly relative humidity values (as percentages between 0 and 100) for each requested coordinate pair, indexed by localized timestamps according to the specified IANA timezone. Multi-location queries return data for all coordinates in a single response.","failureModes":["Missing or invalid latitude/longitude coordinates returns an error","Date range outside available data coverage returns empty or partial results","Mismatched number of latitude and longitude values causes a parameter error","Unsupported IANA timezone identifier causes a formatting error","Invalid output format value (not json/geojson/csv) may return an error or default behavior","Network timeout for large date ranges or many coordinates"],"whenToPreferThis":"Choose this endpoint when you need time-series hourly relative humidity data for specific geographic coordinates, especially for multi-location queries across a date range. It is ideal for weather analysis, agricultural planning, HVAC optimization, or any use case requiring fine-grained moisture data at hourly resolution. Prefer it over daily aggregates when intraday humidity variation matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:39:38.450Z","isFirstParty":false}