US Climate Analytics API

US Climate Analytics API

Access accurate historical climate data by zip code in the US with our comprehensive API for various applications.

API description

About the API:  

The US Climate Analytics API offers complete access to historical climate data tailored to specific ZIP codes in the United States. This invaluable resource allows climate-focused users to access accurate and detailed climate information for any location within the US, enabling a wide range of applications and analyses.

With the US Climate Analytics API, users can retrieve a large number of weather-related metrics, including temperature, precipitation, humidity, wind speed, and more, for any given ZIP code and time period. This data comes from authoritative meteorological sources and is updated periodically to ensure its accuracy and reliability.

One of the key features of the API is its flexibility and ease of use. Users can easily integrate climate data into their apps, websites, or research projects using simple API requests. Whether you're building a weather app, conducting climate research, or analyzing weather patterns for commercial purposes, the US Climate Analytics API provides an easy-to-use interface to access the data you need.

In conclusion, the US Climate Analytics API is a powerful and versatile tool for accessing historical climate data for any location within the United States. Analyzing weather patterns for strategic planning, this API provides the data and information you need to make informed decisions. With its comprehensive coverage and ease of use, the API opens up a wide range of applications and opportunities to leverage climate data in various industries and fields.

 

 What this API receives and what your API provides (input/output)?

It will receive a parameter and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. Weather Forecasting – Use historical weather data to improve the accuracy of weather forecasting models, improving predictions for specific ZIP code areas.

    Agricultural planning: Farmers and agricultural experts can analyze climate data to optimize crop selection, planting schedules, and irrigation strategies based on historical weather patterns.

    Urban planning: Urban planners and architects can incorporate climate data into urban development plans to design resilient infrastructure and mitigate the effects of climate change.

    Energy consumption analysis: Energy companies and policymakers can use climate data to analyze energy consumption patterns and plan energy efficiency initiatives based on historical climate trends.

    Environmental research: Environmental scientists and researchers can study historical climate data to monitor changes in temperature, precipitation, and other climate variables over time.

     

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation.

API Documentation

Endpoints


To use this endpoint you must indicate a zip code in the parameter.



                                                                            
GET https://zylalabs.com/api/3654/us+climate+analytics+api/4117/annual+weather
                                                                            
                                                                        

Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"meta":{"key_to_unit_map":{"avg_min":"°F","avg_max":"°F","avg_precip":"In."}},"zipcode":"90001","January":{"avg_min":47.0,"avg_max":68.0,"avg_precip":3.23},"February":{"avg_min":50.0,"avg_max":69.0,"avg_precip":3.56},"March":{"avg_min":51.0,"avg_max":69.0,"avg_precip":2.86},"April":{"avg_min":53.0,"avg_max":72.0,"avg_precip":0.71},"May":{"avg_min":57.0,"avg_max":74.0,"avg_precip":0.25},"June":{"avg_min":61.0,"avg_max":78.0,"avg_precip":0.08},"July":{"avg_min":64.0,"avg_max":82.0,"avg_precip":0.02},"August":{"avg_min":65.0,"avg_max":83.0,"avg_precip":0.14},"September":{"avg_min":64.0,"avg_max":82.0,"avg_precip":0.29},"October":{"avg_min":59.0,"avg_max":78.0,"avg_precip":0.4},"November":{"avg_min":52.0,"avg_max":73.0,"avg_precip":1.14},"December":{"avg_min":47.0,"avg_max":68.0,"avg_precip":1.86},"Annual":{"avg_min":56.0,"avg_max":75.0,"avg_precip":14.53}}
                                                                                                                                                                                                                    
                                                                                                    

Annual Weather - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/3654/us+climate+analytics+api/4117/annual+weather&zipcode=Required' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the US Climate Analytics API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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Users must indicate a USA zip code and will obtain the annual forecast.

The US Climate Analytics API provides access to comprehensive climate data and analysis designed specifically for the United States.

There are different plans to suit all tastes, including a free trial for a small number of requests, but your rate is limited to avoid abuse of the service.

Zyla provides a wide range of integration methods for almost all programming languages. You can use these codes to integrate with your project as you need.

Sure, you can use it and pay only when you use it. The credit can’t be expired.

Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.

Prices are listed in USD. We accept all major debit and credit cards. Our payment system uses the latest security technology and is powered by Stripe, one of the world’s most reliable payment companies. If you have any trouble with paying by card, just contact us at [email protected]

Sometimes depending on the bank's fraud protection settings, a bank will decline the validation charge we make when we attempt to be sure a card is valid. We recommend first contacting your bank to see if they are blocking our charges. If more help is needed, please contact [email protected] and our team will investigate further

Prices are based on a recurring monthly subscription depending on the plan selected — plus overage fees applied when a developer exceeds a plan’s quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.

Zyla API Hub works on a recurring monthly subscription system. Your billing cycle will start the day you purchase one of the paid plans, and it will renew the same day of the next month. So be aware to cancel your subscription beforehand if you want to avoid future charges.

Just go to the pricing page of that API and select the plan that you want to upgrade to. You will only be charged the full amount of that plan, but you will be enjoying the features that the plan offers right away.

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You can contact us through our chat channel to receive immediate assistance. We are always online from 9 am to 6 pm (GMT+1). If you reach us after that time, we will be in contact when we are back. Also you can contact us via email to [email protected]

 Service Level
100%
 Response Time
209ms

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