Best Free And Paid Air Quality API 2022 | Codementor - Chuyên Trang Chia Sẻ Kiến Thức Thời Trang Mới Nhất

What are Air Quality APIs?

APIs for air quality may be used to detect air pollution, carbon monoxide, and the air quality index, among other things. You may get current, projected, and historical information. These APIs may be used to monitor the levels of key air pollutants from a variety of data sources. Maintain your health by obtaining hourly data from various open APIs to determine which regions are at higher risk for heart and pulmonary illness (especially for older adults).

Best Air Quality APIs for Software Developers
The best air quality APIs include:
• Ambee
• AirVisual
• Air Quality
• Breezometer
• API-prediction-pollution NC

Are APIs for air quality available for free?

The cost of using an API varies based on the API. All of the APIs included in this collection are either free or freemium. Freemium APIs are available for use for a restricted range of API calls before requiring a monthly membership to use at a greater volume.

What exactly is an API?

API (Application Programming Interface) is an abbreviation for this. APIs function similarly to building blocks, allowing you to develop apps much more quickly. It is more efficient & easier to use the features of one of the APIs than attempting to build comparable functionality on one’s own.

1. Ambee
API for 1M+ postcodes that provides global hyperlocal real-time air quality data. Try out an API request and see how it works. Obtain actionable and reliable data about air quality.
Ambee’s Air Quality API is a game-changer in forecasting air conditions with global hyperlocal real-time data on the quality of the environment. Creating data models prioritizes data validation and provides meaningful insights from reliable data. Applications for sectors that are sensitive to air pollution may easily incorporate these data insights.
Ambee combines on-ground sensors, satellite images, and statistical inference to achieve the greatest levels of accuracy and availability when aggregating air quality data. To evaluate and offer reliable real-time data on air quality, proprietary artificial intelligence (AI)-powered algorithms analyze and validate the data. People may use air quality data to help them decide whether to go for a run, take a safer route to work, or even take their dog for a walk. Additionally, pollution in the atmosphere has a significant role in driving global warming. Knowing about air quality statistics might help individuals avoid breathing in polluted air.
It’s possible to get global real-time hyperlocal air quality data using the Air Quality API, accessible from anywhere. The data provided by air quality sensors may be easily integrated into any product, system, or application to improve the user’s experience, sales, and overall effectiveness.

2 AirVisual
The world’s most advanced air quality monitor allows you to track, predict, & take some action against unseen dangers in the atmosphere. The AirVisual Advantage: 8,000 stations across over 100 countries. Air pollution is a worldwide issue, and we have a global solution to provide. Forecasts with a high degree of accuracy, the application of in-house artificial intelligence allows for prediction accuracy that was before unimaginable. Platform-based on No-nonsense crowdsourcing news & educational resources given to the community by the community for the benefit of the community.
• airvisual.com is the website address.
• apiKey is the access token for the API.

Instructions on how to get creds:

• Create an account at airvisual.com.
• After registration, you’ll be able to view your apiKey in the console window.

3 Air Quality
The RapidAPI package for the Weatherbit Air Quality API is included in this download. The air quality prediction for the next three days (hourly), actual air quality + allergen levels, & the last 24h of historic air quality circumstances for every place globally are all available via this API.

Current Air Quality Response fields

Current Air Quality Response fields
lat: Latitude (Degrees).
lon: Longitude (Degrees).
timezone: Local IANA Timezone.
city_name: Nearest city name.
country_code: Country abbreviation.
state_code: State abbreviation/code.
data: [
{

• aqi: Air Quality Index [US – EPA standard 0 – +500]
• o3: Concentration of surface O3 (µg/m³)
• so2: Concentration of surface SO2 (µg/m³)
• no2: Concentration of surface NO2 (µg/m³)
• co: Concentration of carbon monoxide (µg/m³)
• pm25: Concentration of particulate matter < 2.5 microns (µg/m³)
• pm10: Concentration of particulate matter < 10 microns (µg/m³)
• pollen_level_tree: Tree pollen level (0 = None, 1 = Low, 2 = Moderate, 3 = High, 4 = Very High)
• pollen_level_grass: Grass pollen level (0 = None, 1 = Low, 2 = Moderate, 3 = High, 4 = Very High)
• pollen_level_weed: Weed pollen level (0 = None, 1 = Low, 2 = Moderate, 3 = High, 4 = Very High)
• mold_level: Mold pollen level (0 = None, 1 = Low, 2 = Moderate, 3 = High, 4 = Very High)
-predominant_pollen_type: Predominant pollen type (Trees/Weeds/Molds/Grasses)
}, … ]

Historical Air Quality Response fields
lat: Latitude (Degrees).
lon: Longitude (Degrees).
timezone: Local IANA Timezone.
city_name: Nearest city name.
country_code: Country abbreviation.
state_code: State abbreviation/code.
[
{

• timestamp_local: Timestamp at local time.
• timestamp_utc: Timestamp at UTC time.
• ts: Unix Timestamp at UTC time.
• aqi: Air Quality Index [US – EPA standard 0 – +500]
• o3: Concentration of surface O3 (µg/m³)
• so2: Concentration of surface SO2 (µg/m³)
• no2: Concentration of surface NO2 (µg/m³)
• co: Concentration of carbon monoxide (µg/m³)
• pm25: Concentration of particulate matter < 2.5 microns (µg/m³)
• pm10: Concentration of particulate matter < 10 microns (µg/m³)
}, … ]
Forecast Air Quality Response fields

lat: Latitude (Degrees).
lon: Longitude (Degrees).
timezone: Local IANA Timezone.
city_name: Nearest city name.
country_code: Country abbreviation.
state_code: State abbreviation/code.
[
{

•	timestamp_local: Timestamp at local time.
•	timestamp_utc: Timestamp at UTC time.
•	ts: Unix Timestamp at UTC time.
•	aqi: Air Quality Index [US - EPA standard 0 - +500]
•	o3: Concentration of surface O3 (µg/m³)
•	so2: Concentration of surface SO2 (µg/m³)
•	no2: Concentration of surface NO2 (µg/m³)
•	co: Concentration of carbon monoxide (µg/m³)
•	pm25: Concentration of particulate matter < 2.5 microns (µg/m³)
•	pm10: Concentration of particulate matter < 10 microns (µg/m³)
}, … ]

4 Air Quality Converter
Converts air quality measurements into other formats. PM2.5 contributes to the air quality index in the United States. PM2.5 levels in the United States are measured by the Air Quality Index (AQI).
Color coding (both linear and gradient) is also provided, along with general government guidelines to make it simple to build visually attractive user interfaces.
For general information on the Air Quality Index (AQI) in the United States, please see https://www.airnow.gov/aqi/aqi-basics/.

5 Breezometer
If you subscribe to the Breezometer Air Quality API, you will be able to receive global, local, and real-time information on air quality. Check out an API request and then copy and paste the code snippet into your application.
As of 04/20/2017, the Breezometer Air Quality API is available for a free trial period: https://breezometer.com/air-quality-features/pricing/

6 ClimaCell

Today’s MicroWeather API, developed by Tomorrow.io, transforms weather forecasting by delivering the precision and dependability that weather-sensitive businesses need to compete in the twenty-first century.
Today’s Weather of Things data – wireless signals, linked vehicles, aircraft, drones, and Internet of Things devices – fuels the proprietary MicroWeather technology engine developed by Tomorrow.io. This data is combined with proprietary artificial intelligence-driven models to assist individuals and top companies such as Delta, United, and JetBlue in managing their weather-related challenges, which can impact the whole thing from operational effectiveness to productivity, safety, and the bottom line, among other things.
This API offers minute-by-minute meteorological and air quality information – including historical, real-time, and forecast data – for locations worldwide.
The MicroWeather API also provides map layers for more than 20 distinct weather characteristics, actionable weather insights, & collaboration tools to improve the user experience and the effectiveness of business teams, among other features.
The API is protected by HTTPS and needs an API Key to be used. API queries include query parameters, and API replies provide results in JSON format unless otherwise specified.
Weather forecasting is being revolutionized by ClimaCell’s MicroWeather API, which provides the precision and dependability that weather-sensitive businesses need to compete in the twenty-first century.
Data from the Weather of Things – wireless signals, linked vehicles, aircraft, drones, and Internet-of-Things devices – are used to fuel ClimaCell’s proprietary MicroWeather technology engine. This data is combined with proprietary artificial intelligence-driven models to assist individuals and top companies such as Delta, United, and JetBlue in managing their weather-related challenges, which can impact the whole thing from operational competence to productivity, safety, & the bottom line, among other things.
This API offers minute-by-minute meteorological and air quality information – including historical, real-time, and forecast data – for locations worldwide.
The MicroWeather API also provides map layers for more than 20 distinct weather characteristics, actionable weather insights, & collaboration tools to improve the user experience and the effectiveness of business teams, among other features.
The API is protected by HTTPS and needs an API Key to be used. API queries include query parameters, and API replies provide results in JSON format unless otherwise specified.