AI agents use predict.wallet to commit financial operations through Mcp — usually the final step of a payment, billing, or trading workflow. A call moves real money.
This tool operates as a trader on Polymarket, a prediction market where real money (cryptocurrency) is staked on outcomes. Combined with the server's explicit pay-per-call settlement in USDC on blockchain networks, misuse could result in unauthorized financial commitments, trades, or loss of funds.
From the tool's definition 'A Polymarket trader' — Polymarket is a prediction market platform involving real financial trades; combined with 'pay-per-call tools settled in USDC on Base or Solana via x402' indicating real monetary transactions
Attacks that exploit this kind of access
A Polymarket trader. It is categorised as a Financial tool in the Mcp MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the MCP server in PolicyLayer and add a rule for predict.wallet: 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 Mcp. Nothing to install.
predict.wallet is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the predict.wallet 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 predict.wallet. 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.
predict.wallet is provided by the MCP server (@2sio/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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