Access the same environmental data trusted by global industry leaders. Validated, hyperlocal, and structured for research from day one.
From elite sports performance to personalized health apps, researchers and educators across the world are using Ambee's climate intelligence to produce work that matters.
Dr. Naomi Datson, Senior Lecturer in Applied Sport and Performance, used five years of Ambee's environmental data to map international match venues against a club's competition schedule. Temperature, humidity, air quality, precipitation, and pollen counts were analyzed to anticipate conditions weeks in advance, giving coaches a foundation for training decisions and acclimatization planning.
Professor Clabaut assigned his students an open brief: build a mobile application that helps real people. With Ambee's APIs, students across all skill levels were able to access structured, live environmental data and build applications that connected creativity with climate reality.
Four students built Lumee, a weather application that answers natural-language health queries in real time. The app maps Ambee's species-level pollen counts, air quality indices, and weather conditions to individual user locations, delivering recommendations tailored to allergies, asthma, and other environmental sensitivities.
Most public datasets are broad, sparse, or difficult to integrate. Ambee's environmental data is designed to meet the standards that researchers and student developers actually need.
Ambee data is mappable to any lat/lon, postal code/ZIP code or custom boundary giving research the spatial precision needed for powerful analysis rather than broad regional averages.
Access over 30 years of environmental history, allowing studies to identify long-term trends, seasonal patterns, and anomalies that short-term data cannot reveal.
All data is cross-checked against ground-based stations, satellite records, and international quality standards, so research outputs stand up to scientific scrutiny.
Current conditions and forward-looking forecasts are in a single consistent schema, so projects can model both past patterns and anticipated environmental events.
Flexible JSON format, consistent headers across all data products, and thorough documentation at docs.ambeedata.com make integration fast regardless of skill level.
Free trials, exclusive discounts, and a dedicated program for students and researchers reduce cost barriers that have historically limited access to quality climate data.
Whether you are exploring a hypothesis or running a funded research program, Ambee's academic tiers give you the right level of access.
A 15-day free trial to get started with real data for course projects and hackathons.
Access to Ambee Climate Data Suite
Present, historical, and forecast queries
Standard API documentation and support
JSON output, multiple language support
Nominal pricing for university researchers, thesis projects, and faculty-led studies.
Extended data depth and query volume
Multi-API access within a single project
Priority onboarding and dedicated support
Visibility on Ambee's research showcase
The Ambee for academia program is open to individuals and institutions engaged in non-commercial environmental research and learning.
Undergraduate and postgraduate students
Doctoral researchers and postdoctoral fellows
Research-focused NGOs and nonprofits
Faculty members and academic staff
Accredited academic institutions
The program is for non-commercial academic use only. Projects that transition to commercial applications will need to move to a standard plan.All data products are available through the program, with present, historical, and forecast endpoints included.
The process is straightforward. Submit your project details, receive a decision, and start building with real environmental data.
Submit your application with a brief description of your project, institution, and the data products you need. No lengthy proposal required.
The Ambee team reviews your eligibility and project scope. Most applications receive a decision within a few business days.
Once approved, you receive API credentials and can start querying real environmental data for your research immediately.
In exchange for academic access, we ask only that you help us understand the impact the data creates.
Cite Ambee as a data source in any published work, paper, or project presentation that uses our data.
Allow us to feature your published work as a case study on the Ambee website, with your approval before anything goes live.
Share a brief testimonial about your experience. This helps other researchers understand what is possible with environmental data.
Common questions about Ambee's air quality data
The program is open to students and academics working on impactful research projects. It’s ideal for individuals pursuing:
- Environmental Science
- Climate Technology
- Urban Planning
- Data Science and Analytics for Climate Solutions
- Renewable Energy and Sustainability
- And related fields where climate data is required
Participants post-eligibility can access real-time and historical data for:
- Air Quality
- Weather
- Pollen
- Natural Disasters
To apply, fill out the student form on the Ambee for academia page. Be sure to add project details and data requirements to help us evaluate quickly.
The program offers a free 15-day API trial for students and academics working on research projects.
Approval typically takes 3–5 business days after submitting your application.
Yes, you can access data from multiple APIs during the trial period to support your research needs.
No, the API key is unique to you and must not be shared with others.
You can contact Ambee Support to request an extension by explaining your project's progress and why additional time is required, which is subject to review & approval.
If you face any issues, reach out to Ambee Support or write us at contactus@getambee.com with details of the error and your API key for assistance.
If you face any issues, reach out to Ambee Support or write us at contactus@getambee.com with details of the error and your API key for assistance.