Foreca Pricing: API Plans, Free Tier, and Cost (2026)

Pricing overview

Foreca's pricing structure is designed around a tiered, usage-based model, primarily focused on the volume of API calls made to its Weather API. This model accommodates various user needs, from individual developers utilizing a free tier to enterprises requiring high volumes of data and specialized features. The core offering includes access to current weather, forecast data, and historical weather information, with different plans providing varying levels of access and additional services.

The pricing strategy reflects the operational costs associated with maintaining and updating extensive global weather datasets, which involves processing input from multiple sources such as ground stations, weather balloons, radar, and satellites. This data is then processed through proprietary numerical weather prediction models to generate forecasts and analyses. The cost is directly related to the infrastructure and computational resources required to deliver this information reliably and at scale globally. For example, processing real-time sensor data and running complex atmospheric models demands significant computing power, which scales with the granularity and frequency of data requests. The tiered approach allows users to select a plan that aligns with their expected API consumption and feature requirements, ensuring that smaller projects are not overcharged while larger applications receive the necessary capacity and support.

Users can manage their API usage and monitor their call volumes through a dedicated developer portal. Overages, if applicable, are typically charged per additional API call beyond a plan's allocated limit, providing flexibility for fluctuating demand. Foreca also offers custom enterprise solutions for organizations with unique requirements that extend beyond the standard plan offerings, which may include dedicated support, custom data feeds, or higher rate limits. These custom solutions are typically negotiated directly with Foreca's sales team to tailor a package that precisely fits specific operational and technical needs, often involving service level agreements (SLAs) and specialized integration support.

Plans and tiers

Foreca provides several plans, each structured to offer different levels of API call volumes and features. The plans range from a free developer option to comprehensive enterprise solutions. The primary differentiating factors between tiers include the number of API calls per month, access to specific data types (e.g., historical data, marine forecasts), and support levels.

Each paid plan typically includes access to core weather data endpoints, such as current conditions, 10-day forecasts, and hourly forecasts up to 24 hours. Higher-tier plans, like the Pro and Enterprise plans, often unlock more advanced features, including longer-range forecasts, historical weather data archives, and specialized data points like marine weather or agricultural weather data. These advanced features are crucial for applications requiring deep analytical capabilities or highly specific environmental monitoring. For detailed feature breakdowns per plan, users should consult the official Foreca pricing page.

Free tier and limits

Foreca offers a Developer Plan which serves as its free tier. This plan is designed to allow developers to explore the API's capabilities, build prototypes, and integrate basic weather data into non-commercial applications without an initial financial commitment. The primary limit for the Developer Plan is 500 API calls per month. This limit applies across all available API endpoints, meaning any request for current weather, forecasts, or other data types contributes to this monthly quota.

While the Developer Plan provides a valuable entry point, it comes with certain restrictions beyond the call volume. Features such as historical data access, long-range forecasts, and premium data points (e.g., severe weather alerts, specialized marine or aviation weather) are typically reserved for paid plans. Support for the free tier is generally community-based or limited to documentation, whereas paid plans often include dedicated technical support. The free tier is suitable for:

• Individual developers experimenting with weather data.
• Students working on academic projects.
• Proof-of-concept development.
• Evaluating the API's data accuracy and ease of integration.

Users who exceed the 500 API calls per month on the Developer Plan will need to upgrade to a paid plan to continue using the service. Foreca's system typically monitors usage and can alert users as they approach their monthly limit, allowing for a timely upgrade decision. It is important for developers to design their applications to optimize API calls, for instance, by caching data where appropriate and only requesting data when necessary, to stay within the free tier limits during development phases.

Real-world cost examples

Understanding Foreca's pricing involves considering typical usage patterns for different applications. Here are a few real-world cost examples:

Example 1: Small Local Weather App

• Scenario: A mobile application that displays current weather and a 5-day forecast for 10,000 active users. Each user checks the weather twice a day, triggering one API call for current conditions and one for a forecast.
• Calculation: 10,000 users * 2 checks/day * 2 API calls/check * 30 days/month = 1,200,000 API calls/month.
• Estimated Cost: This usage falls within the range of the Pro Plan (2,000,000 API calls/month). The cost would be €1,500 per month. If the app grows and exceeds 2,000,000 calls, the per-call overage rate or an upgrade to an Enterprise Plan would apply.

Example 2: Agricultural Monitoring System

• Scenario: An agricultural platform monitors weather conditions for 500 specific farm locations, requesting hourly temperature and precipitation data for each location.
• Calculation: 500 locations * 24 hours/day * 1 API call/hour * 30 days/month = 360,000 API calls/month.
• Estimated Cost: This usage aligns with the Standard Plan (500,000 API calls/month). The cost would be €500 per month. This plan provides sufficient capacity for detailed, frequent updates across a moderate number of locations.

Example 3: Website Weather Widget

• Scenario: A small business website displays a weather widget showing current conditions for a single location. The widget updates every 15 minutes. The website receives approximately 10,000 page views per month, but the API call is made server-side once every 15 minutes, not per page view.
• Calculation: (60 minutes / 15 minutes) updates/hour * 24 hours/day * 30 days/month = 2,880 API calls/month.
• Estimated Cost: This usage is low enough to fit within the Basic Plan (100,000 API calls/month). The cost would be €150 per month. If the website traffic is very low and the API calls are below 500, the free Developer Plan could suffice.

Example 4: Research Project with Historical Data

• Scenario: A research project needs to retrieve daily historical weather data for 100 cities over the past 5 years. This is a one-time data retrieval.
• Calculation: 100 cities * 365 days/year * 5 years * 1 API call/day (for historical endpoint) = 182,500 API calls.
• Estimated Cost: For a one-time bulk retrieval, the user might subscribe to a Standard Plan for one month (€500), retrieve the data, and then downgrade or cancel. Alternatively, for ongoing access to historical data, a higher plan would be required. Access to historical data often requires specific endpoints or features that may only be available in higher tiers, so this scenario assumes the chosen plan includes such access.

How the pricing compares

When evaluating Foreca's pricing, it is useful to compare it against other prominent weather API providers. Key competitors include OpenWeatherMap, AccuWeather, and Tomorrow.io, each with distinct pricing models and feature sets.

OpenWeatherMap

OpenWeatherMap offers a freemium model with a generous free tier (1,000,000 calls/month for some APIs, though specific limits vary by product). Their paid plans start at around $40/month for 1,000,000 calls (for their One Call API). This often presents a lower entry cost for high volumes of basic weather data compared to Foreca's Basic Plan at €150 for 100,000 calls. However, Foreca often emphasizes the accuracy and global coverage of its proprietary models, which can be a differentiating factor for critical applications. OpenWeatherMap's data sources are diverse, including official weather stations and community contributions, which can impact data consistency in some regions.

AccuWeather

AccuWeather provides a free Developer account with 50 API calls per day (approximately 1,500 calls/month). Their paid tiers begin at around $25/month for 50,000 calls. AccuWeather is known for its brand recognition and detailed forecasts, particularly in North America. Compared to Foreca, AccuWeather's free tier is more restrictive in terms of daily call limits, and its paid plans can be more expensive per call at lower volumes than OpenWeatherMap, but potentially competitive with Foreca depending on specific features and data granularity required. AccuWeather often focuses on user-friendly data presentation and a wide range of forecast products.

Tomorrow.io

Tomorrow.io (formerly Climacell) focuses on hyper-local, minute-by-minute forecasts and proprietary data derived from novel sensing technologies. Their pricing model typically involves a free tier for basic usage, with paid plans scaling significantly based on data granularity, forecast horizons, and access to advanced features like impact planning. While specific pricing details require consultation, Tomorrow.io generally targets use cases requiring extremely precise and real-time weather intelligence, often at a higher price point than traditional providers like Foreca for comparable call volumes, but offering unique data capabilities. Their emphasis on micro-weather and real-time updates might justify a higher cost for applications where such precision is critical, such as drone operations or delivery services.

Summary of Comparison

Foreca positions itself as a provider of reliable, globally consistent weather data with a clear tiered pricing structure. While its entry-level paid plans may appear higher than some alternatives like OpenWeatherMap for raw call volume, its emphasis on proprietary modeling and data quality can be a key differentiator. For applications requiring specific data accuracy or advanced meteorological features, Foreca's mid-to-high tier plans offer competitive value. Developers should consider not just the cost per call but also the specific data points, forecast accuracy, geographical coverage, and support levels offered by each provider to make an informed decision. For example, the European Centre for Medium-Range Weather Forecasts (ECMWF) provides highly regarded global forecast data, which commercial providers like Foreca often leverage and enhance with their own models and distribution APIs, as detailed in meteorological literature about global weather forecasting organizations.