Low Risk

detect_price_anomalies

Detect unusual price movements for a coin using Modified Z-Score statistical analysis. Useful for agents monitoring for unusual market moves.

How to control detect_price_anomalies ↓

AI agents call detect_price_anomalies to retrieve information from Agenti without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

detect_price_anomalies performs statistical analysis (Modified Z-Score) on existing price data to identify anomalies. This is a pure read operation: it queries market data and performs computation to flag patterns, with no side effects, no data modification, no execution of external operations, and no financial transactions.

From the tool's definition The tool description explicitly states it 'Detect[s] unusual price movements' and is 'Useful for agents monitoring for unusual market moves.' This is observational analysis only—it retrieves and analyzes market data without creating, modifying, executing…

Documented attack patterns abuse exactly the kind of access detect_price_anomalies gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Agenti, and nothing reaches the server without passing your rules. This is the rule we recommend for detect_price_anomalies:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "detect_price_anomalies": {}
  }
}

detect_price_anomalies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Agenti — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the detect_price_anomalies tool do? +

Detect unusual price movements for a coin using Modified Z-Score statistical analysis. Useful for agents monitoring for unusual market moves. It is categorised as a Read tool in the Agenti MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on detect_price_anomalies? +

Register the Agenti MCP server in PolicyLayer and add a rule for detect_price_anomalies: 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 Agenti. Nothing to install.

What risk level is detect_price_anomalies? +

detect_price_anomalies is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit detect_price_anomalies? +

Yes. Add a rate_limit block to the detect_price_anomalies 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.

How do I block detect_price_anomalies completely? +

Set action: deny in the PolicyLayer policy for detect_price_anomalies. 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.

What MCP server provides detect_price_anomalies? +

detect_price_anomalies is provided by the Agenti MCP server (nirholas/agenti). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agenti tool call.

Deterministic rules across all 73 Agenti tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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73 Agenti tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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