Confidential and open LLM inference for agents, paid per request in USDC
Rent GPU compute with a prepaid budget
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Paid
Paid
Pricing
LLM inference: Models priced per million tokens input and output, ranging from $0.043 to $3.63 for input and $0.22 to $18.15 for output (e.g., Qwen3.8 27B route C: $0.043/$1.375, Kimi K3 route B: $3.63/$18.15). Virtual machines: Starter $0.159-$0.169/hour, Standard $0.318-$0.335/hour, Pro $0.636-$0.
Rentals start at $5. Pricing varies by GPU model and availability. Hourly rates are shown at checkout with budget and estimated runtime calculated for the selected configuration.
Key features
Attested confidential model execution on Intel TDX hardware
Open tier LLM inference without attestation
Price shown before model execution
No account or API key required
Virtual machines for AI swarms by the hour
Phone numbers and calling with metered pricing
Email inboxes with sending allowances
Access via HTTP without signup
416 open source models available
Live GPU catalog with current inventory and pricing
Payment via x402 v2 or MPP without account signup
API, CLI, MCP server, and Agent Skill automation tools
SSH and Jupyter access to instances
Clean Ubuntu environment with NVIDIA CUDA preinstalled
Budget-based rental with transparent hourly pricing at checkout
Live ghost/stall fallback for failed provider instances
Money-back guarantee if GPU cannot be started
What makes it different
Encrypted memory and disk in processor with no company access to keys
Price transparent and settled before request execution
No account signup, payment via wallet address
Automatic enforcement of calling and messaging consent rules
Failed units not charged to customer
No account required for agent payments via blockchain protocols
Flexible budget-based rental with live pricing
Multiple automation interfaces for developers
Telegram-based guided rental flow
Instant provisioning after payment with credentials delivered in minutes