Best blockchain RPC nodes for AI Agents

Any LLM model can easily connect to our RPC nodes and interact with the blockchain networks right out of the box due to our adherence to native API standard specs for each of the protocols and our own comprehensive documentation with examples. And when we say any, we really mean it.

From the Claude, openAI GPT, and Deepssek models to the ones as small as Microsoft’s phi3:3.8b or even SmolLM that you run locally. Be sure that we tested these.

Not only that but we also have our Platform API, which means the AI Agents can deploy and access the node endpoints to the networks they need.

OpenRouter.ai, ollama, groq.com—all the models they run can interact easily with the Chainstack blockchain node & subgraph data APIs.

If there’s a subgraph your AI Agent is missing, they can create and deploy their own with custom indexing settings as Chainstack provides the ability to deploy custom subgraphs.

The subgraph will then be available through a standard endpoint and following the standardized specs. Available for all the chains with the TVL and activity that matters.

Node client software and version awareness is also always available to the AI Agents through web3_clientVersion and similar calls to always keep the agent up to date with the infrastructure they are operating on.

The responses are always standardized and clear for both successful and custom messages, including crawlable documentation links. This is especially useful when the Agent hits a limit or anything else that requires an additional action—like a plan upgrade, tuning down your RPS, and so on.

You can track the usage on the live dashboard, limit spending to your plan’s quota, and receive email reminders before reaching each threshold.

Archive data for the networks and debug & trace APIs are also available for the AI Agents to run advanced chains of analysis and extra inference time.