Faster Forecasting, Stronger Market Advantage
Model data now reaches our API in under one minute, and average query response times are 33% faster.
This performance boost gives energy customers earlier access to market-moving forecasts and more responsive operational tools. For commodity traders, it means faster ingestion of updated weather data, supporting quicker risk assessments and more confident trading decisions.
Model Data in Under One Minute - Without Trade-Offs in Coverage or Detail
Following major infrastructure enhancements, processing latency for ECMWF and other commonly used weather models has been reduced to a minimum. New model output now becomes available via the API in a matter of seconds after files are available, with global coverage and the full parameter set, not to mention numerous derived parameters along with the added benefit of 90 downscaling.
Achieving this level of speed at scale is not trivial. Many providers prioritise rapid availability by restricting the number of parameters or limiting geographic coverage. Making complete, high-resolution model data available this quickly, and doing so consistently at global scale, is far more complex. For algorithmic and quant-driven energy use cases, where consistency and data completeness matter as much as speed, this difference is critical.
What this means for you:
You gain near-instant access to newly released model data; not just for a small subset of locations or variables, but consistently across regions, parameters, and resolutions. For fast-moving energy markets, this can translate into:
Earlier visibility of relevant forecast changes
Faster model ingestion into trading and optimisation systems
Better support for algorithmic and quant-driven strategies that rely on complete, high-resolution datasets
A Faster, Smoother, Higher-Capacity API
We also redesigned key parts of our API infrastructure, resulting in 33% faster average response times across all query types and more daily capacity without performance drops.
For energy workflows that depend on rapid calls (e.g., intraday load forecasting, wind ramp detection, production optimisation, algotrading), these improvements mean more stability and faster iterations. Commodity trading clients benefit from more efficient retrieval of the weather inputs they integrate into supply-demand, logistics, and risk models.
You’ll feel the difference in MetX as well: maps load faster and large datasets refresh more efficiently. When every update informs a decision, this smoothness becomes part of your operational advantage.
Speed = Margin
Earlier model availability tightens the gap between raw weather output and your trading desk. A faster API accelerates every downstream tool, script, or model that depends on it. This combination of speed, coverage, and resolution is especially valuable for advanced, data-intensive energy workflows, and delivers meaningful performance gains across all weather-sensitive markets.
Together, these upgrades give market professionals:
More lead time on market-moving forecast changes
Higher confidence in time-critical decisions
Greater throughput for automated forecasting and optimisation systems
Our mission remains unchanged: to deliver fast, reliable, and scalable weather intelligence so you can act with precision and confidence, even in the most demanding market environments.
Want to see how this speed fits into your workflow?
