How to Run Energy Portfolio Analysis with OpenClaw
Run energy cost portfolio analysis with OpenClaw and ToolRouter.
Tool
OpenClaw enables energy portfolio analysis at scale — combining electricity prices and solar estimates across multiple properties or locations in a single automated run, producing the datasets needed for housing association energy upgrades, commercial property surveys, or large-scale sustainability reporting.
Connect ToolRouter to OpenClaw
1Install the CLI
npm install -g toolrouter-mcp2Call tools directly from OpenClaw
toolrouter-mcp call web-search search --query "AI tools"
toolrouter-mcp toolsSteps
Once connected (see setup above), use the Energy Data tool:
- Run: "Get electricity prices for all UK regions using energy-data"
- Then: "Estimate solar generation for 4kWp south-facing systems at postcodes [list] using energy-data"
- Combine datasets to rank properties by solar ROI potential
- Export for inclusion in sustainability reports or investment prioritisation
Example Prompt
Try this with OpenClaw using the Energy Data tool
Get electricity prices for five UK regions and solar estimates for 20 postcodes with 4kWp south-facing systems. Return combined data as JSON for portfolio energy cost modelling.
Tips
- Process entire property portfolios in a single batch to identify the highest-ROI solar candidates
- Refresh electricity prices daily and solar estimates monthly for current accuracy
- Weight ROI by property type (EPC rating, consumption profile) for more accurate prioritisation