Your rules. Every trade.
Set order limits, daily spending caps, symbol allowlists, and trading hours. Each action has to pass before it reaches the broker.
Give your trading agent room to operate.
Keep every action inside boundaries you control.
Every action checked. Every decision accounted for.
| Action | Decision | Time |
|---|---|---|
| Buy 10 AAPLAll checks passed | ✓ Allowed | 14:32:08 |
| Buy 80 NVDAPosition limit exceeded | ⊘ Blocked | 14:31:54 |
| Sell 5 MSFTAll checks passed | ✓ Allowed | 14:30:12 |
Ready to evaluate your next action.
Send a sample order through the gate.
Policy checks run before execution.A prompt is a request. A policy is a boundary.
Gaterail puts a deterministic checkpoint between
what an agent wants to do and what happens next.
Set order limits, daily spending caps, symbol allowlists, and trading hours. Each action has to pass before it reaches the broker.
Pause new actions when you need to take control. Resume when you’re ready, with the same rules still in place.
See what was proposed, which rules applied, and why an action was allowed or blocked. A clear trail for you and your agent.
decision "blocked"
rule "max_order_value"
reason "Order exceeds $5,000"Your agent proposes. Gaterail evaluates.
Only allowed actions move forward.
Choose the limits that reflect your strategy and risk tolerance. Make them explicit.
Connect your agent to the policy gateway. Keep broker access behind the enforcement layer.
Allowed actions proceed. Blocked actions return a reason. Every decision leaves a record.
Keep your model, your strategy, and your workflow. Put explicit policy at the point of execution.
1// Your agent connects here. Your broker stays behind the gate.
2const result = evaluatePolicy({
3 action: { side: "buy", symbol: "AAPL", notional: 2500 },
4 policy: { maxOrderValue: 5000, allowedSymbols: ["AAPL", "MSFT"] },
5 portfolio: await broker.getPortfolio(),
6});
7
8if (!result.allowed) return reject(result.reason);
9return broker.execute(action);
Your agent chooses the strategy and proposes actions. Gaterail checks those actions against explicit rules before execution. It does not predict returns or select investments.
The action is stopped before it reaches the broker. The agent receives a structured reason so it can adjust its next proposal, and the decision is recorded in the activity log.
The pause control stops new actions through the gateway. Canceling existing orders and managing open positions are separate broker actions that need their own policies.
Connect your wallet to manage decentralized spending vaults on Robinhood Chain. Live broker trading is not enabled. The homepage demo uses illustrative data.
Let intelligence move. Keep your boundaries firm.
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