◆ 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?
How should a trading agent store credentials?
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.
◆ MORE WORKLOADS