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Geneva Forecasting API
High-performance time series forecasting with low latency
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@timtully
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About Geneva Forecasting API
Geneva Forecasting API offers lightning fast time series forecasting with sub-200ms latency. You can integrate it directly into your workflow using the Python SDK or native Claude Desktop integration via MCP. This high-performance solution provides a free tier, making it accessible for you to start building predictive models quickly and efficiently.
Used by Fortune 500 brands for 30 years including Oracle, Walmart, Samsung, Dell, and Top Pharma Planning teams. Now available to the public with an LLM or in the web browser.
Product Insights
Geneva Forecasting API provides low-latency time series forecasting for data analysis and financial planning, accessible via Python SDK, MCP, and web platforms. It bridges enterprise-grade predictive modeling with modern AI workflows through a freemium pricing model.
- Sub-200ms latency ensures high-performance integration for real-time applications.
- Multiple integration paths via Python SDK and Claude Desktop native MCP support.
- Proven reliability with long-standing adoption by Fortune 500 enterprise brands.
- Accessible freemium pricing allows for immediate testing and deployment.
Ideal for: Developers, Data Scientists, and AI Engineers needing high-speed predictive capabilities for financial and market analysis within their coding environments.
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Comments (3)
Congrats on the launch @timtully
one of the fastest and most scalable forecasting API that I've used. There's pros and cons with all types of these APIs but Geneva is my favorite.
Geneva API is the pinnacle of Forecasting in AI, transform your LLM or agents into Enterprise level forecasters using the sharpest models available with industry shattering low latency.