Agent Runtime Alpha
Long-lived agents with policy, memory, and tool-use — orchestrated, observable, and safe to ship.
The PlutonAI developer platform gives engineers a single surface for autonomous agents, multi-model inference, and the on-chain primitives that let agents work, earn, and settle on real value rails.
Platform
We built the surface a team would otherwise stitch from five different vendors. APIs, agent runtime, memory, evals, and on-chain settlement — all behind one auth boundary.
Long-lived agents with policy, memory, and tool-use — orchestrated, observable, and safe to ship.
Route across our model lineup with a single call. Streaming, tool use, structured outputs — and one bill.
Smart-account wallets, signed intents, and settlement adapters that let agents move real value safely.
Replay every step, score every run, and ship with the confidence a production system demands.
Per-agent keys, budget caps, scoped permissions, and audit logs — the boring controls that ship products.
A single pane for keys, agents, runs, billing, and live model usage — designed for teams, not solo devs.
Use cases
Autonomous workflows our early partners are already prototyping on the platform — a snapshot of what the surface is shaped for.
Keeps a fund's stable / volatile mix inside policy bounds, with on-chain execution and signed audit trail.
Synthesises governance forums, prices, and code diffs into ranked briefs — refreshed continuously.
Watches health metrics, fires alerts, and proposes parameter changes that humans approve in one click.
Compiles a yield strategy from natural language, runs evals, then deploys behind quota and risk limits.
Reads a project's docs, account state, and on-chain history to answer like a senior ops engineer.
MCP-compatible. Plug in your APIs, contracts, or internal services and the agent picks them up.
Access
We're being deliberate about onboarding. Capacity is real, and so is the cost of shipping something half-baked. Each tier rolls out in its own window.