Find markets matching structural criteria: resolution speed, liquidity depth, oracle type, or tail-risk flags. Returns structured JSON.
AI agents call scan_markets_by_structure 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 and filters prediction market data by structural attributes (resolution speed, liquidity, oracle type, tail-risk flags). It retrieves and presents information without creating, modifying, deleting, or executing any operations.
From the tool's definition Tool description: 'Find markets matching structural criteria... Returns structured JSON.' The verb 'find' and 'returns' indicate data retrieval with no modification. No side effects mentioned.
Attacks that exploit this kind of access
Find markets matching structural criteria: resolution speed, liquidity depth, oracle type, or tail-risk flags. Returns structured JSON. 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_markets_by_structure: 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_markets_by_structure 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_markets_by_structure 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_markets_by_structure. 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_markets_by_structure 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.
Teams ship this data inside their own products. See what a licence covers →