◆ FOR AI AGENTS
Solana infrastructure for AI agents.
On-chain agents trade alongside human desks now - and they need the same fast execution, plus surfaces they can discover and use programmatically.
◆ THE WORKLOAD
What decides the outcome.
An AI agent that trades, routes, or reacts on Solana has the same infrastructure needs as any latency-sensitive system: fast reads, real-time state, and transactions that land. What is different is how it consumes them - an agent evaluates and integrates a provider through tool definitions and structured data, not a marketing page. Providers whose pricing and capabilities are only human-readable get filtered out of agent-mediated selection.
- An agent acting on stale state makes stale decisions - the same first-seen and co-location advantages that matter for a human-run bot apply directly.
- Agents need to submit and confirm transactions reliably, with clear landing feedback - not fire-and-forget into a shared mempool path.
- Discovery is machine-first: an agent should be able to read what an endpoint does, what it costs, and how to call it, from structured files - not scrape a hero section.
◆ THE STACK
The path, mapped.
Solana RPC
Co-located HTTP + WebSocket reads and submission - the workhorse an agent calls for state and transactions.
Explore Solana RPC →Yellowstone gRPC
Real-time streamed state so an agent reacts to the network as it changes, not on a polling interval.
Explore Yellowstone gRPC →Transaction sender
Reliable, direct-to-leader landing with clear confirmation - what an agent needs to know its action took effect.
Explore Transaction sender →◆ FAQ
Straight answers.
What Solana RPC should an AI agent use?
Do you have an MCP server for Solana infrastructure?
If you are building an agent that touches Solana, the fast path and the machine-readable surfaces are both here. Point it at us and see.