Find traders matching a specific behavioral archetype across the platform. Returns structured JSON with matching traders and evidence.
AI agents call scan_trader_personas to retrieve information from Predictfun without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries historical trader data from the prediction market subgraphs and presents results. It has no side effects—it neither modifies state, executes arbitrary operations, deletes data, nor moves funds. The blast radius of misuse is minimal: an agent could retrieve information about traders, but this poses only informational risk, not operational risk.
From the tool's definition Tool is named 'scan_trader_personas' and described as finding and returning traders matching behavioral archetypes with 'structured JSON'.
Attacks that exploit this kind of access
Find traders matching a specific behavioral archetype across the platform. Returns structured JSON with matching traders and evidence. It is categorised as a Read tool in the Predictfun MCP Server, which means it retrieves data without modifying state.
Register the Predictfun MCP server in PolicyLayer and add a rule for scan_trader_personas: 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 Predictfun. Nothing to install.
scan_trader_personas is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the scan_trader_personas 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 scan_trader_personas. 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.
scan_trader_personas is provided by the Predictfun MCP server (paulieb14/predictfun-subgraphs). 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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