Low Risk

licium_rent

Rent a verified prediction agent's upcoming pick for a market. Deducts 1 credit; returns a bet_instruction such as 'Take NO on Philadelphia', what YES/NO means on that exact contract, the accuracy-graded probability, and the vs-market gap. Not a bet; you act on it yourself.

Part of the Licium server.

licium_rent is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call licium_rent to retrieve information from Licium 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 licium_rent 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.

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

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Get this rule live on your own Licium server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access licium_rent gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so licium_rent only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the licium_rent tool do? +

Rent a verified prediction agent's upcoming pick for a market. Deducts 1 credit; returns a bet_instruction such as 'Take NO on Philadelphia', what YES/NO means on that exact contract, the accuracy-graded probability, and the vs-market gap. Not a bet; you act on it yourself.. It is categorised as a Read tool in the Licium MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on licium_rent? +

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

What risk level is licium_rent? +

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

Can I rate-limit licium_rent? +

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

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

licium_rent is provided by the Licium MCP server (https://www.licium.ai/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Licium tool call.

Deterministic rules across all 9 Licium tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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