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
Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Databricks
No
Go REST
Yes
Google Analytics
No
Google Cloud Platform
No
Google Sheets
No
JSON
Yes
Microsoft Azure
No
Microsoft Excel
No
Python
No
Integrations
Amazon Web Services (AWS)
Yes
Databricks
Yes
Go REST
No
Google Analytics
Yes
Google Cloud Platform
Yes
Google Sheets
Yes
JSON
No
Microsoft Azure
Yes
Microsoft Excel
Yes
Python
Yes
Pricing Details
€54 per 400 requests per month
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
Yes
Free Version
Yes
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)
Yes
In Person
No
Vendor Details
Company Name
QUOS Group
Founded
2021
Country
France
Website
www.frogcast.com
Vendor Details
Company Name
Nixtla
Founded
2021
Country
United States
Website
www.nixtla.io
Product Features
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No