get_live_data_by_mint

THE RISK

Low Risk

Why get_live_data_by_mint needs a policy

This tool retrieves live market data from the Kalshi prediction market exchange based on a mint address lookup. It performs a query operation that returns information about events and markets without creating, modifying, deleting, or executing any operations. No financial transactions or state changes are performed by the tool itself.

From the tool's definition Tool name 'get_live_data_by_mint' and description 'Get live data by looking up an event from a market mint address' indicate data retrieval with no side effects. The verb 'get' and action of 'looking up' are characteristic of read-only queries.

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

POLICY

How to control get_live_data_by_mint

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_mint:

policy.json

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

get_live_data_by_mint 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.

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EXPLORE

Related tools and policies

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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_mint

What does the get_live_data_by_mint tool do? +

Get live data by looking up an event from a market mint address. 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_mint? +

Register the DFlow MCP Server MCP server in PolicyLayer and add a rule for get_live_data_by_mint: 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_mint? +

get_live_data_by_mint 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_mint? +

Yes. Add a rate_limit block to the get_live_data_by_mint 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_mint completely? +

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

get_live_data_by_mint 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 →