[Premium] Compute portfolio Value-at-Risk (VaR) and Conditional VaR (Expected Shortfall) from historical asset return series, accounting for cross-asset correlation. Use for portfolio risk attribution, regulatory capital sizing, drawdown scenario analysis. Returns are matrix [asset][time] of peri...
Part of the Oraclaw server.
Free to start. No card required.
AI agents call analyze_risk to retrieve information from Oraclaw 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 analyze_risk 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": {
"analyze_risk": {}
}
}See the full Oraclaw policy for all 17 tools.
These attack patterns abuse exactly the kind of access analyze_risk 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.
[Premium] Compute portfolio Value-at-Risk (VaR) and Conditional VaR (Expected Shortfall) from historical asset return series, accounting for cross-asset correlation. Use for portfolio risk attribution, regulatory capital sizing, drawdown scenario analysis. Returns are matrix [asset][time] of period returns. For simulating outcomes from a parametric distribution rather than historical data, use simulate_montecarlo. Requires ORACLAW_API_KEY.. It is categorised as a Read tool in the Oraclaw MCP Server, which means it retrieves data without modifying state.
Register the Oraclaw MCP server in PolicyLayer and add a rule for analyze_risk: 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 Oraclaw. Nothing to install.
analyze_risk 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 analyze_risk 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 analyze_risk. 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.
analyze_risk is provided by the Oraclaw MCP server (@oraclaw/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 17 Oraclaw tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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