Access comprehensive pollen count data for informed choices, health preparedness, and trend analysis in high-pollen zones.
Ambee's pollen API provides precise and up-to-date pollen data, offering valuable insights for various applications. The API provides users with comprehensive information on different pollen types, their sub-species, and pollen count. Ambee's Pollen API stands as a reliable resource for enhancing health awareness and facilitating data-driven choices.
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Solving climate change requires collaboration across industries. Hence, Razor partnered with Ambee to make reliable real-time and accurate data available to the blockchain.
We tried out Ambee’s Weather and Pollen API for our healthcare app. The data was accurate and valuable, and the team was really supportive. I would recommend working with them.
The PACE team is thrilled to be working with partners like Ambee, who bring a fresh perspective to our work and ensure that the PACE mission will provide societal benefit.
The display systems, sensor devices, & data on cloud services truly show why they are the pioneers in the market. The process, too, was easy—incredible work by team Ambee.
It has helped Adylic showcase the power of utilizing API in personalizing ads. In this case, we were able to target users' needs at the right time based on the user's location.
Handle chronic health conditions efficiently by understanding environmental triggers.
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We harness the power of on-ground sensors, remote satellite imagery, and a global proprietary sensor network to get credible data from multiple sources.
Our proprietary models measure, process, and analyze data from over a dozen sources, processing many terabytes of data every day for an accurate result.
Real-time, hyperlocal - 1x1 km grid - environmental data is easy to consume through API calls, or on a customized dashboard.
Air quality data to help understand the ambient environment
Pollen data to help your customers avoid seasonal allergies
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Weather data to optimize efficiency and second-order effects
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Alerts on extreme weather events to take precautions and prepare for weather-related disasters
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Keep track of natural disasters in real time to reduce their risks on lives, properties, and environment.
Understand the level of emissions with CO2 data. Coming soon!
Pollen count shows the number of pollen grains that are present in the air for a standard volume.
The different types of pollen allergy are classified based on the severity of the allergy and the type of pollen to cause an allergy. According to allergy data, tree, grass and weed allergies are three primary types.
Pollen count levels range from 0 to 50,000 grains depending on the type of pollen. Safest pollen counts are when the pollen index is low. The higher the pollen index, more is the number of pollen count level.
API key can be copied and inserted in the tab on the Ambee dashboard to make pollen API calls. Pollen app give you real-time pollen count without an API key.
Pollen index is directly correlated to pollen count, which is the measurement of the number of grains of pollen in a cubic meter of air. Low pollen index means the number of pollen count in the air is low and high pollen index means the number of pollen count is high. High pollen index can lead to increased rates of allergic reaction for those with allergic disorders.
There are several ways to verify pollen forecasts:
One way is to compare the forecast to actual pollen counts. Another way to verify pollen forecasts is to compare them to other sources of information about pollen levels. For example, you could compare the forecast to reports from other pollen monitoring stations in the same region.
Overall, the best way to verify pollen and allergy forecasts is to use a combination of both of these methods to get an accurate result. At Ambee, we additionally verify pollen forecast using proprietary AI and ML models to ensure maximum accuracy.
You can get historical pollen count data up to 48 hours on our APIs and more than 10+ years on demand by contacting our customer service. Our historical pollen data is accurate with street level granularity. Get highly insightful data on historical pollen counts by just heading over to our API dashboard.
Allergy forecast are generally quite accurate, but they can be affected by a number of factors, such as changes in weather patterns and local conditions. It's a good idea to check the forecast regularly and to be prepared for fluctuations in allergen levels. At Ambee, we examine multiple pollen station’s historical data and patterns, while taking into account other phenological factors and behaviors. Using the power of proprietary AI and ML models, Ambee’s virtual pollen monitoring station provides reliable, and accurate pollen count by zip code and allergy forecasts.