A tool by Firecrawl · uses 6 tools · Energy

Rooftop solar payback screen

Use when a solar installer, commercial property owner or energy consultant wants a quick payback screen for a rooftop system at one US address before a site visit. Reads long-run sunshine at the site, the state's retail electricity price for the customer class, hazard exposure that affects insurance, and local income for residential demand, then gives a payback range with every input sourced.

Open in ChatGPT Open in Claude

Save a copy for your team

Tools it calls

Each tool's price and track record across every agent today. Empty means the call worked and found nothing.

ToolPriceMedianSuccessEmpty

NASA POWERList parametersPrice5 creditsMedian–Success–Empty–
NASA POWERMonthly historyPrice5 creditsMedian–Success–Empty–
US Energy Information AdministrationDataPrice5 creditsMedian968 msSuccess100%Empty0%
USFS Wildfire Risk to CommunitiesWildfire risk for geometryPrice5 creditsMedian–Success–Empty–
National Weather Service API (api.weather.gov)Alerts historyPrice5 creditsMedian–Success–Empty–
US Census BureauDataPrice5 creditsMedian617 msSuccess97.7%Empty3.8%

Instructions

What your agent follows when it runs this tool. Paste them into any assistant connected to Firecrawl.

# Rooftop solar payback screen

For one address with known coordinates and a system size in kW and cost you were given. The coordinates feed every weather and hazard call.

## 1. How much sun

1. Find the all-sky surface irradiance code with @[NASA POWER · List parameters](alexandria:power-larc-nasa-gov/weather-history/list_parameters) (query `irradiance`, temporal monthly).
2. Pull the site's monthly irradiance for the last ten years with @[NASA POWER · Monthly history](alexandria:power-larc-nasa-gov/weather-history/monthly_history). Average by month for a typical year and note the worst year.

## 2. What the power is worth

3. Pull the average retail price for the state and sector (residential or commercial) with @[EIA · Route data](alexandria:eia-gov/energy-data/data) on the `electricity/retail-sales` route (monthly, last 24 months, price column). Note the trend, not just the latest month.

## 3. What could go wrong

4. Read @[Wildfire Risk to Communities · Wildfire risk for geometry](alexandria:wildfirerisk-org/wildfire-risk/wildfire_risk_for_geometry) for the parcel; high risk raises insurance cost and can block some installers.
5. Check @[National Weather Service · Alerts history](alexandria:api-weather-gov/weather/alerts_history) for the past week to see whether hail or wind events are common enough to mention.

## 4. Who can buy (residential)

6. Pull median household income for the county with @[US Census Bureau · Data](alexandria:census-gov/census/data) (acs/acs5).

## Write the screen

- **Yield:** typical annual kWh per kW from irradiance, with the method stated.
- **Value:** kWh times retail price, and payback years using the cost given. Show the arithmetic.
- **Risks:** wildfire class and recent alerts.
- **Range:** best and worst case payback.
- **Sources:** cite every figure to the capability and record it came from. Say what could not be found rather than guessing.

All Firecrawl tools