Standard Compute
Switch to unlimited LLM tokens for AI agents
Switch to unlimited LLM tokens for AI agents.
No rate limits, one flat monthly price.
Run OpenClaw, Hermes Agent, or any OpenAI-compatible tool as much as you want without worrying about token cost. Set it up in under 2 minutes.
Features
Unlimited LLM usage with one predictable monthly price. Standard Compute uses intelligent model routing to automatically select the best model for each task: powerful reasoning models for complex agent workflows, and faster, more efficient models for simpler tasks such as extraction, classification, summaries, and routine automation. Everything works through an OpenAI-compatible API, so you can connect existing tools with minimal setup.
Use Cases
Run OpenClaw, OpenCode, Hermes Agent, KiloCode, n8n workflows, coding agents, support automations, research tasks, document processing, and internal AI tools without constantly managing token budgets. Standard Compute is built for teams and builders who need agents to run freely, reliably, and at predictable cost.
Comments
We built Standard Compute because AI agents should be able to work without every step being constrained by token limits or unpredictable bills. The goal is simple: one flat monthly price, unlimited usage, and intelligent routing that automatically matches each task with the right model. Complex reasoning tasks can use stronger models, while simpler work such as classification, extraction, and summaries is handled more efficiently in the background. That means you can run OpenClaw, Hermes Agent, or any OpenAI-compatible workflow freely, without constantly watching usage. We are building this for people who want to experiment, automate, and deploy real AI workflows without friction.
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Comments
We built Standard Compute because AI agents should be able to work without every step being constrained by token limits or unpredictable bills. The goal is simple: one flat monthly price, unlimited usage, and intelligent routing that automatically matches each task with the right model. Complex reasoning tasks can use stronger models, while simpler work such as classification, extraction, and summaries is handled more efficiently in the background. That means you can run OpenClaw, Hermes Agent, or any OpenAI-compatible workflow freely, without constantly watching usage. We are building this for people who want to experiment, automate, and deploy real AI workflows without friction.
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