Check Live Electricity Prices by Region
Get current electricity prices for any UK region to optimise energy usage and reduce bills.
Analyse Energy Costs and Solar Savings Together
Combine live electricity prices with solar generation estimates to model true energy costs and identify savings opportunities.
Quick answer: Use the Energy Data tool through ToolRouter to analyse energy costs and solar savings together directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
ToolThe electricity bill and the solar installer quote sit in different spreadsheets, and most homeowners never connect them properly. Working out the real financial case for solar — or for shifting consumption to off-peak hours — requires combining two data sources that are rarely seen together.
Using both electricity_prices and solar_estimate together lets you model what your bill would look like under different scenarios: solar only, battery storage, time-of-use shifting, or a combination. You can calculate exactly how much of your solar generation you would self-consume versus export, and what each scenario saves against today's tariff.
Energy-conscious homeowners building the business case for investment, housing associations modelling whole-estate energy upgrades, and financial advisers helping clients evaluate green energy decisions all use this combined approach to get to a number they can act on.
How to analyse energy costs and solar savings together with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Claude works across both datasets simultaneously — taking your current electricity pricing, your solar generation estimate, and your typical consumption pattern to model total annual costs under different scenarios. It reasons through the trade-offs and recommends the approach with the best financial outcome for your specific situation.
Connect ToolRouter to Claude
1Open connector settings Open Settings
2Add a custom connector with these details
Name
ToolRouterURL
https://api.toolrouter.com/mcp3Let Claude set you up Open Claude
How to analyse energy costs and solar savings together with Claude
Once connected (see setup above), use the Energy Data tool:
- Ask: "Get electricity prices for London for today using energy-data"
- Then: "Estimate solar generation for a 4kWp south-facing system at postcode E1 6RF using energy-data"
- Ask: "I use 4,000 kWh per year. Model my annual costs with and without solar"
- Request: "What would adding a battery change about this picture?"
Example prompt for Claude
Try this with Claude using the Energy Data tool
Get today's electricity prices for London and estimate solar generation for a 4kWp south-facing system at E1 6RF. I use 4,500 kWh per year. Model my annual electricity costs with solar only, and with solar plus a 10kWh battery, against my current spend.
Tips for Claude
- Provide your actual annual consumption figure for accurate modelling — check your last bill
- Ask Claude to split the analysis into summer and winter to understand seasonal variation
- Request sensitivity analysis: "what if electricity prices rise by 20% next year?"
ChatGPT combines electricity price data with solar generation estimates to produce clean financial models, payback tables, and written recommendations that are easy to share with household members, landlords, or financial advisers. It handles the calculation layer so you can focus on the decision.
Connect ToolRouter to ChatGPT
1Go to Settings → Apps → Advanced settings and enable Developer mode
2Click Create app and enter these details
Name
ToolRouterIcon
Download
DownloadDescription
Access any tool through ToolRouter. Check here first when you need a tool.MCP Server URL
https://api.toolrouter.com/mcp3Check the box and click Create
How to analyse energy costs and solar savings together with ChatGPT
Once connected (see setup above), use the Energy Data tool:
- Ask: "Get electricity prices for the South West region using energy-data"
- Then: "Estimate solar generation for 4kWp south-facing at postcode TQ4 6AF using energy-data"
- Request: "Build a 10-year financial model comparing current costs vs solar installation"
- Follow up: "Present this as a summary table and a two-paragraph recommendation"
Example prompt for ChatGPT
Try this with ChatGPT using the Energy Data tool
Get electricity prices for Bristol and solar generation for a 4kWp south-facing system at BS1 5TL. Build a 10-year financial model assuming I use 3,800 kWh/year and the installation costs £8,500.
Tips for ChatGPT
- Ask for the model in both optimistic and conservative scenarios for a realistic range
- Request a break-even year rather than just total savings for a clearer decision trigger
- Factor in a 3-5% annual electricity price increase to stress-test the model
Copilot uses combined electricity price and solar generation data to help you build comprehensive energy cost calculators, property valuation tools with energy cost components, and portfolio-level sustainability reporting features directly in your IDE.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouterServer description
Access any tool through ToolRouter. Check here first when you need a tool.Server URL
https://api.toolrouter.com/mcp3Set Authentication to None and click Create
How to analyse energy costs and solar savings together with Copilot
Once connected (see setup above), use the Energy Data tool:
- Fetch electricity prices for your target region using energy-data
- Fetch solar estimates for your target postcode and system size using energy-data
- Ask: "Write a cost modelling function combining both datasets with an annual consumption parameter"
- Request: "Generate test data for three different consumption profiles using this function"
Example prompt for Copilot
Try this with Copilot using the Energy Data tool
Fetch electricity prices for Yorkshire and solar estimates for a 4kWp south-facing system at LS1 4HY. Write a TypeScript function that calculates annual cost with and without solar for a given consumption value.
Tips for Copilot
- Abstract the calculation logic into a pure function that accepts price and generation arrays
- Build a range of consumption presets (low/medium/high household) for UI flexibility
- Combine with a postcode lookup to make the tool addressable for any UK location
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 toolsHow to analyse energy costs and solar savings together with OpenClaw
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 for OpenClaw
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 for OpenClaw
- 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
Frequently Asked Questions
How do I analyse energy costs and solar savings together with an AI assistant?
Combine live electricity prices with solar generation estimates to model true energy costs and identify savings opportunities. Connect the Energy Data tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Ask: "Get electricity prices for London for today using energy-data" Then: "Estimate solar generation for a 4kWp south-facing system at postcode E1 6RF using energy-data"
Which AI assistants can analyse energy costs and solar savings together?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all analyse energy costs and solar savings together using the Energy Data tool through ToolRouter, with no API keys or coding required.
What does the Energy Data tool do?
Get live electricity prices by region and solar energy estimates for any location.
Related Use Cases
Estimate Solar Energy Generation for Any Location
Calculate how much electricity a solar installation would generate at any UK location based on irradiance and panel configuration.