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Solar Irradiance Predictor MCP
x402
Solar Irradiance Predictor MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.12/call, status unknown (last checked 2026-09-15).
Predicts solar irradiance levels based on provided input data for energy forecasting and solar resource assessment.
Price / call$0.12
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns a predicted solar irradiance value or forecast for the provided input, which may include irradiance intensity (W/m²), expected solar energy yield, and potentially a confidence score or time-series breakdown depending on input parameters.
Example use cases
Solar farm daily output planning
“What will the solar irradiance levels be at my solar farm site in Tucson, Arizona tomorrow? I need to estimate how much power we'll generate for grid dispatch planning.”
Rooftop solar system sizing
“I'm planning to install solar panels on my house in Denver, Colorado — can you predict the typical solar irradiance I'd receive in July so I can figure out what system size I need?”
Solar energy yield forecasting
“Run a solar irradiance prediction for my photovoltaic installation in Sacramento, California for this Friday — I need to know expected radiation levels to schedule battery storage operations.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/solar-irradiance-predictor-mcp/api/processWhen to prefer
Choose this endpoint when you need a quick, on-demand solar irradiance prediction or forecast for a specific location or scenario, especially within an agentic workflow that requires solar energy estimates without integrating a full weather or energy API.
Side effects
- Malformed or missing input data string returns a 400-level error
- Insufficient or ambiguous location/time data may yield low-confidence or null predictions
- Payment failure (x402) prevents processing if USDC payment is not completed
- Server-side errors (500) if the prediction model encounters unsupported input formats
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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