Connect Pexapark’s observable renewable market data directly into Excel, Python and AI workflows – in minutes.

Every trading desk, origination team and investment team now relies on proprietary models to make faster, better decisions. But too often, getting market data into those models still involves downloading files, copying spreadsheets or relying on technical support.

Today we’re changing that.

Pexapark’s new API starter kits let you connect observable renewable market data directly into Excel, Python and AI coding environments in minutes – so you can spend less time moving data and more time analyzing it.

Energy trading is becoming a data discipline

The AI revolution is not just shifting power demand, it is also changing how energy professionals work.

Traders and originators are becoming data analysts. The Analysts themselves are becoming vibe-coding engineers, building live apps, dashboards and arbitrage-seeking agents. Backtests that took a week to conceptualize now take an hour to run. It’s happening fast, and it is changing where and how energy market decisions are made.

As workflows evolve, market data needs to move with them.

We see this every day from the teams we work with – traders and originators at utilities, trading houses and IPPs. Decisions are no longer made in a data silo, but against the backdrop of curated, dashboards that bring together a range of datasets from different sources into actionable, proprietary analytics and decision dashboards.

That’s how your edge is now being created.

Observable data belongs inside every model where work happens

And of course, it raises the bar for someone who provides data and tools.

Many of our clients have been pulling Pexapark data programmatically for years: blending market curves with in-house fundamental forecasts, marking project pipelines against market-implied forward curves, feeding reference prices into ETRMs, or calibrating in-house pricing models against observable benchmarks from price polling reports. The API was always there, but until now, supported static processes designed by an engineer.

Now, we are turning the API into a workflow tool for flexible, daily jobs. We are making it easier for non-technical analysts, originators, or data engineers – regardless of how they work – to embed observable market data wherever their models and decisions actually live.

Our starter-kit gets you connected in minutes, removing the complexity of API integration, so analysts, traders and originators can start using live market data directly in your workflow – without waiting for engineering support.

Choose the right workflow

Excel. Keep financial models automatically up to date. With a template spreadsheet set up with Power Query, your model can pull current PPA prices or market curves every time you open your spread sheet. No manual syncing. No out-of-date price assumptions.

Jupyter. Analyze and backtest faster. Our Python starter kit gets you from authentication to a live data pull in under thirty lines of code – readable enough that non-specialists can adapt and maintain it.

Claude Code. Build AI-powered analytics with with our Claude starter kit – your codebase knows how to connect to Pexapark from the first prompt. Query prices, curves and historical datasets directly from natural language prompts.

Three starting points. Your data, your models, your insights stay yours. We just make it easier to bring observable clean energy market data inside all of them.

Why this matters

Whether you’re:

• Pricing PPAs
• Valuing BESS projects
• Building trading strategies
• Marking portfolios
• Running investment models

your competitive edge increasingly depends on combining proprietary analytics with trusted market data.

The easier that data flows into your workflow, the faster you can make decisions.

 

What are you going to build with observable market data next?

We’re building the next generation of workflow tools alongside the teams that use them every day. We’d love to hear what you’re building next.