Weatherbit Weather Data API
Weatherbit REST API for current weather, forecasts, historical weather data, and weather alerts. Enables AI agents to access real-time weather conditions and hourly/daily forecasts for weather-driven automation, handle severe weather alerts and advisory retrieval for weather response workflows, retrieve historical weather data for analytics and machine learning model training, access agricultural weather data and agrometeorological indices for precision agriculture automation, manage air quality index and pollution data for environmental monitoring, handle marine and ocean weather data for maritime operations, access energy-relevant weather metrics (solar irradiance, wind speed) for renewable energy operations, retrieve climatological normals and anomaly data for weather risk assessment, manage point and grid-based forecast queries for location-specific weather automation, and integrate Weatherbit with agriculture, energy, logistics, and outdoor operations platforms.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Weather data. No formal compliance certification. API key. US. Public weather data.
⚡ Reliability
Best When
A logistics, agriculture, energy, or outdoor operations business wanting AI agents to automate weather-triggered decisions, severe weather monitoring, historical weather analysis, and location-specific forecast integration.
Avoid When
SAFETY-CRITICAL WEATHER DECISIONS: Weatherbit data should not be the sole source for life-safety weather decisions (aviation, maritime navigation, emergency management); use official NWS/NOAA products for safety-critical operations. Weather forecast accuracy limitations — automated decisions based on weather forecasts must account for inherent forecast uncertainty (especially beyond 3-5 days); automated supply chain or event decisions based on longer-range forecasts require uncertainty buffers. Legal weather evidence — automated weather data used in insurance claims or litigation must come from certified weather observer records; Weatherbit API data is not NOAA-certified for legal weather documentation. Agricultural automation timing — automated planting or spray application based on forecast data must account for model uncertainty; automated field operations committed days in advance based on forecast create equipment mobilization waste when forecasts verify differently.
Use Cases
- • Triggering weather-based operations from logistics agents
- • Monitoring severe weather alerts from risk management agents
- • Analyzing historical weather from agricultural planning agents
- • Forecasting energy demand from utility operations agents
Not For
- • Aviation-grade meteorology without FAA-certified data source
- • Emergency weather alerts requiring NWS official source
- • Hyper-local point forecasts requiring on-site sensors
Interface
Authentication
Weatherbit uses API key authentication. REST API with JSON. Founded 2016. Private (self-funded). Weather data API for developers. Global coverage with 100K+ weather stations. 50,000+ developer users. Competitive pricing vs OpenWeatherMap and Tomorrow.io. Historical weather data from 2009. Agricultural and marine weather data specialty.
Pricing
Founded 2016. Private, self-funded. 50,000+ developer users. Competitive pricing. Historical weather from 2009. Agricultural weather specialty.
Agent Metadata
Known Gotchas
- ⚠ SAFETY-CRITICAL DECISION RISK: Weatherbit is not an official meteorological authority; do not use as sole data source for aviation, maritime navigation, or emergency management weather decisions — use certified NWS/NOAA products for life-safety applications
- ⚠ No webhooks — weather alert and threshold triggers require polling; implement periodic polling with alert condition checking rather than expecting push notifications
- ⚠ Daily call quota enforcement — free tier 500 calls/day limit is hard; automated agents without call budgeting can exhaust daily quota within minutes on high-frequency polling; implement call count tracking
- ⚠ Legal weather documentation — Weatherbit data is not NOAA-certified; insurance claims or litigation requiring certified weather records must use NOAA Climate Data Online or trained weather observer certified records
- ⚠ Historical data quality gaps — historical weather data coverage and quality varies by location; automated analytics using historical data in data-sparse regions (Africa, remote Asia, polar areas) have higher uncertainty
- ⚠ Forecast lead time accuracy — automated decisions based on 7-10 day forecasts must account for significantly higher uncertainty vs 1-3 day forecasts; implement uncertainty-aware planning buffers for longer-lead automated decisions
Alternatives
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Scores are editorial opinions as of 2026-03-07.