GBM Monte Carlo with contributions/withdrawals. Up to 5000 paths. Use when running a Monte Carlo simulation for asset price paths. Provide starting price, drift, volatility, time horizon, and number of simulations. Returns: simulated terminal prices, percentile distribution (5th/25th/50th/75th/95...
Part of the Quantoracle server.
Free to start. No card required.
AI agents call simulate_montecarlo to retrieve information from Quantoracle without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though simulate_montecarlo only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"simulate_montecarlo": {}
}
}See the full Quantoracle policy for all 74 tools.
These attack patterns abuse exactly the kind of access simulate_montecarlo gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
GBM Monte Carlo with contributions/withdrawals. Up to 5000 paths. Use when running a Monte Carlo simulation for asset price paths. Provide starting price, drift, volatility, time horizon, and number of simulations. Returns: simulated terminal prices, percentile distribution (5th/25th/50th/75th/95th), expected value, probability of profit, and path statistics. NOTE: Via MCP, keep simulations ≤ 1000 and years ≤ 30 for fastest response. For larger simulations (up to 5000 paths, 100 years), call the REST API directly at https://api.quantoracle.dev/v1/simulate/montecarlo.. It is categorised as a Read tool in the Quantoracle MCP Server, which means it retrieves data without modifying state.
Register the Quantoracle MCP server in PolicyLayer and add a rule for simulate_montecarlo: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Quantoracle. Nothing to install.
simulate_montecarlo is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the simulate_montecarlo rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for simulate_montecarlo. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
simulate_montecarlo is provided by the Quantoracle MCP server (QuantOracle/quantoracle). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 74 Quantoracle tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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