get_live_data_by_event

THE RISK

Low Risk

Why get_live_data_by_event needs a policy

This tool retrieves real-time information about prediction market events and their milestones from the Kalshi exchange. It has no side effects, does not modify data, does not execute arbitrary code, and does not commit financial transactions. It is purely a data retrieval operation, fitting the Read category. The blast radius of misuse is minimal—an attacker could only access publicly available market data.

From the tool's definition Tool name is 'get_live_data_by_event' and description states 'Get live data for all milestones of an event.' The verb 'Get' combined with the read-only nature of retrieving live market data indicates no modification, deletion, or execution of external…

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

POLICY

How to control get_live_data_by_event

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_live_data_by_event": {}
  }
}

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

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

CAP THIS TOOL →

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EXPLORE

Related tools and policies

More DFlow MCP Server tools

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_live_data_by_event

What does the get_live_data_by_event tool do? +

Get live data for all milestones of an event. It is categorised as a Read tool in the DFlow MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_live_data_by_event? +

Register the DFlow MCP Server MCP server in PolicyLayer and add a rule for get_live_data_by_event: 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 DFlow MCP Server. Nothing to install.

What risk level is get_live_data_by_event? +

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

Can I rate-limit get_live_data_by_event? +

Yes. Add a rate_limit block to the get_live_data_by_event 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 get_live_data_by_event completely? +

Set action: deny in the PolicyLayer policy for get_live_data_by_event. 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 get_live_data_by_event? +

get_live_data_by_event is provided by the DFlow MCP Server MCP server (opensvm/dflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DFlow MCP Server tool call.

Start from DFlow MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →