Micro Weather Pricing: Hyperlocal Weather API Costs (2026)

Pricing overview

Micro Weather offers a tiered pricing structure designed to accommodate different usage levels, from individual developers to large enterprises. The model is primarily subscription-based, with specific API call allocations per month, and includes options for overage charges if monthly limits are exceeded. Key factors influencing the overall cost include the volume of API requests, the type of weather data accessed (e.g., current, historical, forecast), and the inclusion of advanced features. The service provides a free developer tier to facilitate initial integration and testing.

Developers can access Micro Weather's pricing details directly on the Micro Weather pricing page, which outlines the specifics of each plan. The API provides granular hyperlocal data, which is suitable for applications requiring precise, location-specific weather information, as noted in the Micro Weather documentation.

Plans and tiers

Micro Weather's pricing plans are structured into distinct tiers, each offering a different set of features and API call limits. The core offering across plans is access to the Hyperlocal Weather API, Historical Weather Data, and various Weather Forecasts. As users move to higher-tier plans, the monthly API call allowance increases, and additional features such as higher request rates or enhanced data resolution may become available.

A summary of the main plans is provided in the table below. Specific details regarding each plan, including the exact number of API calls, pricing, and feature sets, are available on the Micro Weather official pricing page.

Each plan typically includes support for various data types, such as current weather, 24-hour forecasts, and historical observations. Higher tiers might offer longer forecast ranges, more detailed historical archives, or dedicated support options. Overages are generally charged per additional API call once the monthly limit is surpassed, with rates varying by plan.

Free tier and limits

Micro Weather offers a free tier, known as the Developer Plan, which provides a defined number of API calls per month without charge. This plan is designed to enable developers to evaluate the API's capabilities, integrate it into their applications, and conduct initial testing before committing to a paid subscription.

• Developer Plan: This free tier includes 5,000 API calls per month. It provides access to core API functionalities, allowing users to retrieve current weather conditions, short-range forecasts, and basic historical data.

The Developer Plan is suitable for proof-of-concept projects, educational purposes, and applications with very low usage requirements. Micro Weather's free tier, like those offered by many API providers, helps reduce the initial barrier to entry for new users. For example, similar free access models are employed by platforms like Google Cloud's Free Tier, which allows users to explore services before incurring costs.

Users who exceed the 5,000 monthly API calls on the Developer Plan will typically need to upgrade to a paid plan to continue accessing the service without interruption. The free tier does not usually include advanced features such as extended historical data archives or specialized forecast models, which are reserved for paid subscriptions.

Real-world cost examples

Understanding Micro Weather's pricing model through practical scenarios can help estimate potential costs:

1. Startup with a location-based app (50,000 API calls/month):
   A small startup developing a delivery service might require real-time weather data for route optimization and customer notifications. If their application makes an average of 50,000 API calls per month for hyperlocal current conditions and short-range forecasts, they would align with the Basic Plan. This plan costs $29 per month and covers their usage without overage fees.
2. Agricultural analytics platform (200,000 API calls/month):
   An agricultural technology company monitoring microclimates across multiple farms might need more extensive data, including historical observations and more frequent forecasts for irrigation planning. With 200,000 API calls per month, they would likely subscribe to the Standard Plan. This plan, priced at $99 per month, would accommodate their call volume.
3. Smart city infrastructure (800,000 API calls/month):
   A municipality implementing smart city applications, such as dynamic traffic light adjustments based on weather or localized air quality monitoring, could generate a high volume of requests. If they average 800,000 API calls monthly for a combination of current, forecast, and historical data across numerous sensors and services, they would fit into the Pro Plan. This plan costs $299 per month.
4. Large-scale event management (1,500,000 API calls/month with peak loads):
   An enterprise managing outdoor events across various locations might require continuous, high-volume access to hyperlocal forecasts and nowcasting data. If their typical usage is 1,500,000 API calls per month, they would exceed the Pro Plan's limit. They would either opt for the Enterprise Plan with custom pricing for their specific volume and potentially higher peak usage limits, or pay overage charges on the Pro Plan. Assuming an overage rate of $0.0006 per call (hypothetical, based on common industry practices for high volume), the 500,000 calls over the Pro Plan's limit would add $300 to the $299 base, totaling $599 per month. This scenario often prompts a move to custom enterprise agreements for better cost efficiency and dedicated support.

These examples illustrate how usage patterns directly translate to specific plan selections and associated monthly costs with Micro Weather. Factors like data refresh rates, geographical coverage, and the specific endpoints accessed can also influence overall API call volume.

How the pricing compares

When evaluating Micro Weather's pricing, it is useful to compare it against alternative hyperlocal weather API providers. These alternatives often employ similar usage-based or tiered subscription models, but specific pricing points, included features, and free tier allowances can differ significantly.

• OpenWeatherMap: Offers a free tier with 1,000,000 calls/month for basic current weather and 5-day forecasts, but limits refresh rates and access to advanced features. Their paid plans start at around $40/month for more frequent updates and 16-day forecasts, scaling up based on calls and features. OpenWeatherMap often serves as a cost-effective option for applications that do not require ultra-hyperlocal resolution or immediate data updates.

• Tomorrow.io: Known for its high-resolution, street-level forecasts and advanced applications, Tomorrow.io typically targets enterprise clients with more sophisticated needs. Their pricing is often custom-quoted, reflecting the granular detail and specialized models offered. While they may have a developer tier, their commercial plans generally start at a higher price point than Micro Weather's Basic Plan, aligning with their focus on premium data and services for use cases like drone operations or autonomous vehicles.

• AccuWeather API: AccuWeather provides a range of commercial APIs with various tiers for forecasts, historical data, and alerts. While specific pricing isn't always publicly listed, their plans are generally structured around call volumes and feature sets, similar to Micro Weather. AccuWeather's brand recognition and global coverage can be a factor for some users, though their hyperlocal data depth may vary compared to dedicated hyperlocal providers like Micro Weather.

Micro Weather's free Developer Plan, at 5,000 API calls/month, offers a starting point for evaluation, which is more restrictive in volume than OpenWeatherMap's free tier but often provides more precise hyperlocal data. The starting paid Basic Plan at $29/month for 50,000 calls positions Micro Weather competitively for small to medium-sized applications requiring detailed hyperlocal information. This tier is generally more accessible than the typical enterprise-focused offerings of providers like Tomorrow.io, while providing more granular data than basic free or low-cost plans from more generalized providers.

When selecting a provider, factors beyond just the number of API calls, such as data accuracy, update frequency, geographical coverage, and the specific resolution of hyperlocal data, are critical. For example, a global overview of weather APIs provides further context on evaluating providers, as detailed by Mozilla's Geolocation API documentation, which highlights similar considerations for location-based data services.