Energy Data Services for IT & Data Scientists

Designed for power market professionals, the DataSignals® suite transforms complex market data into clear, actionable intelligence. Access fully engineered, analytics-ready Yes Energy® data for all nodes and markets — delivered through the technology that fits your workflow. Whether you're a newcomer, a seasoned expert, a nimble trading shop or a major utility, let us handle the complexities of data collection, cleaning, and standardization — so you can focus on making confident decisions.

DataSignals Cloud

Ready-to-query, structured datasets – Skip ETL and dive straight into analysis, feature engineering, and model building.
Scalable, cloud-native analytics – Run complex queries at scale with no compute limits, powered by Snowflake’s architecture.
Unified access to Yes Energy data – Explore historical and real-time power market data from a single, high-fidelity source.
Built-in development tools – Code directly in Snowflake with Snowpark (Python, R, Scala, Java), build apps with Streamlit, and leverage a robust GitHub library of example code and notebooks.

DataSignals API

Automatable access to analytics-ready data – Easily pull real-time and historical power market data into your apps or models.
Low-latency, continuously updated feeds – Access near real-time data with minimal delay for time-sensitive use cases.
Developer-friendly integration – Use a consistent data model with example endpoints and GitHub-hosted code to get started fast.
Reliable, QA-validated pipeline – Trust in high-quality data backed by automated and manual validation checks.

DataSignals Lake

Complete access to historical, analytics-ready data – Tap into Yes Energy’s full, normalized data warehouse for modeling, backtesting, and large-scale analysis.
Pipeline-friendly delivery via S3 – Ingest gzipped CSVs into your workflows using standard tools and flat-file formats.
Unlimited usage, no consumption fees – Work with large volumes of data without cost constraints—ideal for heavy compute and exploratory analysis.
Developer-ready with trusted delivery – Accelerate integration with GitHub code libraries and rely on QA-validated data pipelines.