Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Frogcast is a cutting-edge global weather forecasting API that provides extremely precise and localized weather predictions by integrating over 20 advanced numerical weather prediction models with state-of-the-art artificial intelligence and diverse geospatial data from top-tier organizations such as ECMWF and NOAA, alongside earth observation data and ground-level measurements, to aid crucial decision-making in fields like agriculture, construction, logistics, retail, insurance, environment, transport, and health. Its RESTful API grants access to an impressive array of more than 26 meteorological variables, offering forecasts that extend up to 15 days into the future, along with probabilistic forecasts that include confidence intervals and quantiles for enhanced understanding, all while delivering high spatial resolution down to 1 km and detailed topographic information at 90 m for focused targeting of specific areas. The Frogcast platform is designed for effortless integration into current systems and applications via intuitive API endpoints utilizing standard web protocols and JSON data formats, which facilitates both real-time and historical weather data analysis for trend identification and decision support. Additionally, the flexibility of the API allows for customization based on user needs, enhancing the overall user experience and effectiveness of the weather data provided.
Description
Property Forecast serves as an advanced data analytics platform tailored for real estate investors.
This robust tool facilitates the analysis, prediction, exploration, and comparison of various real estate markets, making it an essential resource for stakeholders in the industry.
My journey with this project began several years ago when I sought to evaluate specific markets for my own needs. As I delved deeper into the process, I recognized a significant gap in the market that could be filled with a dedicated product.
With Property Forecast, users can uncover markets by utilizing search, sorting, and filtering options across more than 40,000 regions in the United States, tailored to their specific requirements. Users can also juxtapose selected markets side-by-side, leveraging over 80 metrics presented through user-friendly charts and tables. Furthermore, the platform allows for in-depth exploration of individual regions, where users can analyze detailed data and identify trends. The visualization capabilities extend to both real-time data and historical patterns, enabling users to track preferred markets and generate custom reports conveniently from their dashboard.
Our emphasis is on fostering dynamic interactions with constantly updated datasets, offering in-depth analysis down to the neighborhood and block level, while providing an AI-enhanced user experience that simplifies the process of extracting valuable data insights. Ultimately, Property Forecast is designed to empower investors with the tools they need to make informed decisions in the ever-changing real estate landscape.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
Go REST
No
JSON
No
Pricing Details
€54 per 400 requests per month
Free Trial
No
Free Version
Yes
Pricing Details
$59/month
14 day free trial
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
QUOS Group
Founded
2021
Country
France
Website
www.frogcast.com
Vendor Details
Company Name
Property Forecast
Founded
2025
Country
United States
Website
propertyforecast.co