Build agents. Deploy safely.
Build autonomous trading agents in the Agent Builder — identity, harness, governance, observability and memory included — or bring your own and connect via MCP. Use the REST API directly, or let your agents consume platform tools over MCP. Same governance either way.
Not a connector. The platform your agents run on.
MCP is the agent-facing integration surface — but agentic is the platform underneath it: the primitives, runtime and safety rails agents consume. Volatility Intelligence, execution and strategy tools are all built on the same primitives.
The building blocks under every agent
Identity & Registry
Per-agent identities, API keys and ownership metadata. Every action is audit-ready and attributed to the agent that took it.
Harness & Runtime
Agent lifecycle management, sandboxed execution and resource quotas — with non-bypassable policy enforcement at the boundary.
Governance & Order Gateway
Per-strategy limits, capital budgets and circuit breakers. Pre-trade enforcement and compliance hooks, server-side — agents can't route around them.
Observability & Event Bus
Real-time agent event streams — signals, fills, risk events, audit logs. Stream to the console or to your own downstream consumers.
Agent Memory & Vector DB
Persistent state and embeddings for recall and context, with fine-grained permissions on memory access.
Tooling & Intelligence
Packaged products your agent calls — Volatility Intelligence, options execution, strategy selection — importable as tools or via REST.
Multi-agent orchestration
Run a fleet, not a bot — trading, risk and portfolio-optimization agents coordinated under one governance layer, each attributed and contained on its own mandate.
Model router
Every LLM call is routed to the right model — the cheapest that clears the reliability bar — so agent compute stays cheap without giving up quality.
Connect over MCP. Govern with policy.
Register and connect your agent over MCP — it authenticates, calls platform tools and streams telemetry. Build it in EigenTrader OS, or bring your own runtime; REST + SDKs cover service-oriented use too.
Declare policy in YAML, a Markdown agent file, or natural language — at the agent layer (one agent's mandate) or the portfolio layer (rules across the whole book). Budgets, limits and circuit breakers are enforced server-side on every order; you set the policy, and agents can't route around it.
Same governance, attribution and observability whether the agent is built here or brought via MCP — and the policies are always yours to set.
# policy · risk-agentagent: risk-agentwhen: # model-evaluated, not a static stopregime_model: risk_offrotation: out_of(book.top_sector)vol_term_structure: inverted # front month > backthen:scale_gross: 0.5xwiden_stops: 1.5xblock_entries_if: earnings_gap_risk > 0.7on_breach: halt + alert
Illustrative. The full policy schema, SDK & MCP reference lives in the docs.
You build, own and operate your agents.
Bring your own via MCP, or build them in EigenTrader OS. Either way, the agent is yours.
EigenTrader OS provides the infrastructure, tools and governance rails. It does not make trading decisions for you, trade on your behalf, or manage your account. Your agent runs on your connected brokerage account (e.g. Alpaca); you are responsible for the agents you deploy and the trades they place. We add governance, attribution and observability on top of your broker — we don't replace your judgment. Same model as your broker's API.
Where you govern and monitor your fleet
Your agents run against the backend and report into it — they never need this screen. The dashboard is for you: supervise every strategy, see per-strategy performance, watch a live personalized feed, and ask a trader assistant about your book. EigenTrader OS is the platform underneath; this is the cockpit on top.
Per-strategy returns, not a blended number
Watch the portfolio equity curve, then pick any strategy from the dropdown — the chart drills into its Strategy Returns, real-time and historical.
A feed personalized to your portfolio and market
Alerts, fills, risk and analysis — streamed in real time and tuned to your positions, your strategies and the events you actually trade.
Ask it about your book or the market
A question — a strategy, a risk, how the day is shaping up — answered from your positions and live market data. Just the question and the answer.
Agentic Options — production options infrastructure, as tools
Production Volatility Intelligence (IV rank, expected moves, regime detection across the U.S. options universe, 5-min refresh), an options execution engine and strategy selection — packaged as tools your agent calls.