Classify a trader into behavioral archetypes: whale_accumulator, yield_farmer, arbitrageur, early_mover, or resolution_sniper. Returns structured JSON with matched personas and supporting metrics.
AI agents call find_trader_persona 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.
The tool performs data retrieval and analysis only—it queries trader behavior data from the Predict.fun protocol and subgraphs to categorize trading patterns. There are no side effects, no code execution, no data modification, and no financial transactions. The output is informational classification based on historical metrics.
From the tool's definition Tool name 'find_trader_persona' and description state it 'Classify a trader into behavioral archetypes' and 'Returns structured JSON with matched personas and supporting metrics.' This is purely a classification/analysis function that retrieves and analyzes…
Attacks that exploit this kind of access
Classify a trader into behavioral archetypes: whale_accumulator, yield_farmer, arbitrageur, early_mover, or resolution_sniper. Returns structured JSON with matched personas and supporting metrics. 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 find_trader_persona: 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.
find_trader_persona 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 find_trader_persona 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 find_trader_persona. 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.
find_trader_persona 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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