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Compute Profitability API
x402
Compute Profitability API is a paid API for AI agents from x402-compute-revenue-gateway.vercel.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-15).
Estimates hourly GPU compute profitability by calculating net profit from expected revenue, rental cost, and optional electricity consumption inputs.
Price / call$0.001
Success—
StatusUnknown
How this service works
Estimate hourly GPU compute profitability from revenue, rental cost and optional electricity inputs.
Output
Returns an estimated hourly profitability figure for a GPU, accounting for gross revenue, rental cost, and optional electricity expense (derived from power draw in watts and electricity price per kWh). Typically includes net profit per hour and a cost breakdown.
Example use cases
GPU mining break-even analysis
“I'm thinking about renting an H100 GPU for crypto mining — it pulls 700 watts, costs $2.20 per hour to rent, and I expect to earn about $2.80 per hour in mining revenue. Electricity is $0.12 per kWh. Is it actually profitable per hour?”
AI inference compute ROI check
“I'm running AI inference jobs on a rented GPU that draws 250 watts and costs $1.00/hour. I'm charging clients $1.35 per GPU-hour and paying $0.09/kWh for electricity. What's my net hourly profit?”
Electricity cost sensitivity for GPU farm
“Help me figure out how much my GPU profitability changes — each card draws 400 watts, rents for $0.75/hour, and earns $1.10/hour in revenue. Calculate profitability at $0.08 per kWh electricity.”
Technical details
Endpoint
POSThttps://x402-compute-revenue-gateway.vercel.app/api/gpu-profitabilityWhen to prefer
Choose this endpoint when you need a quick, on-demand calculation of GPU compute profitability that factors in rental cost, expected revenue, and optionally electricity consumption. It is ideal for agents making real-time GPU rental decisions, comparing multiple GPU options, or running sensitivity analyses on energy costs. Prefer it over manual spreadsheet calculations or general-purpose LLM math when a structured, consistent, cost-aware computation is needed.
Side effects
- Missing required fields (hourlyRentalUsd or hourlyRevenueUsd) result in validation errors
- Negative or non-numeric input values rejected due to minimum:0 constraints
- Service unavailable or timeout if the Vercel deployment is cold-starting
- Payment failure if x402 USDC micropayment ($0.001) is not properly handled by the client
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| powerWatts | number | Power draw in watts |
| hourlyRentalUsd | number | GPU rental cost per hour in USD |
| hourlyRevenueUsd | number | Expected gross revenue per GPU-hour in USD |
| electricityUsdPerKwh | number | Electricity price in USD per kWh |
Tags
x402
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