Stop juggling multiple weather providers. WeatherLens blends NWS + Open-Meteo into a single, developer-first REST API. Forecasts, climate normals, accuracy tracking, and historical data. Ship weather features in minutes, not weeks.
This is what a single API call returns. One request, structured JSON, ready to render.
{
"location": {
"lat": 28.3772,
"lon": -81.5707,
"name": "Orlando, FL"
},
"forecast": [
{
"date": "2026-03-23",
"highF": 82, "lowF": 64,
"precipProbPct": 5,
"wind": { "mph": "8-12", "dir": "E" },
"conditions": "Clear sky",
"uvIndex": 7,
"humidityPct": 58
},
{
"date": "2026-03-24",
"highF": 79, "lowF": 62,
"precipProbPct": 20,
"conditions": "Partly cloudy"
}
// ... up to 16 days
],
"usage": {
"today": 42,
"limit": 5000
}
}Most weather APIs are bloated, expensive, or built for enterprise sales teams. WeatherLens is built for you. The developer who just wants clean data, fast.
No onboarding calls. No sales demos. Just sign up and start building.
X-API-Key header. Send lat/lon coordinates. Get JSON back.# Get a 7-day forecast for Austin, TX curl -H "X-API-Key: wl_live_abc123" \ "https://weatherlens.dev/api/v1/forecast?lat=30.2672&lon=-97.7431&days=7" # Check forecast accuracy for the past month curl -H "X-API-Key: wl_live_abc123" \ "https://weatherlens.dev/api/v1/accuracy?lat=30.2672&lon=-97.7431" # Get climate normals for today curl -H "X-API-Key: wl_live_abc123" \ "https://weatherlens.dev/api/v1/climate?lat=30.2672&lon=-97.7431"
One base URL. Predictable JSON. No surprises.
/api/v1/forecastUp to 16 days of temperature, precipitation, wind, UV, humidity, and conditions. NWS precision for US days 1-7, Open-Meteo globally to day 16.
/api/v1/climateProprietary climate normals for any day-of-year. Multi-year weighted averages with recency bias. Great for seasonal planning and anomaly detection.
/api/v1/accuracyForecast accuracy by source, month, and lead-time bucket. Temperature error, precipitation accuracy, and condition match. So you know exactly what to trust.
/api/v1/historicalUp to 365 days of observed weather for any coordinate. Temperature, precipitation, wind, conditions. Pro plan only.
Curious about the stack? WeatherLens is built on modern, battle-tested infrastructure.
Most weather APIs serve raw model output. WeatherLens runs every forecast through a Machine Learning model trained on 91,000+ forecast-vs-actual pairs across the globe and with a proprietary set of climate features. Here's the difference.
Side-by-side, same-day forecasts. WeatherLens vs the providers your users are comparing you to.
| Provider | High Temp Error | Low Temp Error | Rain Accuracy |
|---|---|---|---|
| WeatherLens | 1.29°F | 1.28°F | 85.2% |
| National Weather Service | 2.0 – 2.5°F | 2.0 – 2.5°F | 80 – 83% |
| Tomorrow.io | 1.5 – 2.5°F | 1.5 – 2.5°F | 80 – 85% |
| OpenWeatherMap | 2.5 – 3.5°F | 2.5 – 3.5°F | 70 – 78% |
Day-1 forecast accuracy. Competitor ranges from independent studies (ForecastWatch). WeatherLens tested on 500 locations across 30 climate zones.
Weather data powers more than you think. Here's how teams use WeatherLens.
Display hyperlocal forecasts in fitness, travel, or outdoor recreation apps. One API call returns temperature, precipitation, wind, and UV data ready for any UI.
Drive irrigation schedules, frost alerts, and planting decisions with 16-day forecasts and climate normals. Historical data helps you spot trends season over season.
Route around severe weather. Adjust ETAs based on real precipitation and wind data. Accuracy scoring tells you exactly how reliable the forecast is at each lead time.
Schedule outdoor work around rain windows. Use multi-day forecasts to plan concrete pours, roofing jobs, and heavy equipment operations with confidence.
Predict solar output and wind generation. Manage demand forecasting with temperature data and climate normals to anticipate heating and cooling loads.
Auto-adjust thermostats, retract awnings before storms, and trigger sprinkler systems based on actual precipitation probability. Low-latency JSON for embedded devices.
Apples to apples. Here's what you actually get for your money.
| Feature | WeatherLens | OpenWeatherMap | Tomorrow.io |
|---|---|---|---|
| Free Tier | |||
| Price | $0 | $0 | $0 |
| Daily requests | 100/day | 1,000/day | 500/day |
| Forecast range | 7 days | 5 days | 5 days |
| Mid Tier | |||
| Price | $9/mo | $40/mo | $25/mo |
| Daily requests | 5,000 | By call volume* | 500 |
| Rate limit | 60 req/min | 60 req/min | 25 req/hr |
| Forecast range | 16 days | 8 days | 5 days |
| Pro / High-Volume Tier | |||
| Price | $29/mo | $180/mo | Custom (sales call) |
| Daily requests | 50,000 | By call volume* | Negotiated |
| Rate limit | 300 req/min | 180 req/min | Negotiated |
| Historical data | 365 days included | Add-on (extra cost) | Add-on (extra cost) |
| Across All Plans | |||
| Data sources | NWS + Open-Meteo + proprietary | Single source (OWM) | Proprietary only |
| Accuracy scoring | Built-in ✓ | ✗ | ✗ |
| Climate normals | Built-in ✓ | Separate API + cost | ✗ |
| Setup time | <5 min, self-serve | ~15 min | ~30 min + sales call |
* OpenWeatherMap One Call 3.0 charges per API call beyond free tier. Competitor pricing verified as of March 2026. Check their sites for current rates.
Free tier. No credit card. No sales call. Just an API key and a curl command.