Faim Time Series Forecasting

What is Faim Time Series Forecasting?

Faim Time Series Forecasting is an MCP server designed for zero-shot time-series forecasting, utilizing advanced foundation models like Chronos2 and TiRex to provide multivariate and probabilistic forecasts.

How to use Faim Time Series Forecasting?

To use the Faim Time Series Forecasting, you need to set up the server by installing the necessary packages and configuring your environment with a valid FAIM API key. You can run the server using npm commands and interact with it through JSON-RPC requests.

Key features of Faim Time Series Forecasting?

• Two MCP Tools: Includes list_models for available forecasting models and forecast for performing time series forecasting.
• Flexible Input Formats: Supports both 1D arrays for univariate time series and 3D arrays for batch/sequence/feature formats.
• Probabilistic Forecasting: Offers point forecasts, quantile forecasts with confidence intervals, and sample forecasts for risk assessment.

Use cases of Faim Time Series Forecasting?

1. Forecasting sales trends based on historical data.
2. Predicting stock prices using multivariate time series data.
3. Analyzing weather patterns for future predictions.

FAQ from Faim Time Series Forecasting?

• What models are available for forecasting?

The server currently supports Chronos2 and TiRex models for time series forecasting.

• Is there a cost to use the Faim Time Series Forecasting?

The service is free to use, but requires a valid FAIM API key.

• What programming environment is required?

You need Node.js version 20 or higher and npm version 10 or higher to run the server.