Filter a list of addresses and return only outcome mints.
AI agents call filter_outcome_mints to retrieve information from DFlow MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or filters existing data (outcome mints from a list of addresses) without creating, modifying, deleting, or executing operations. It is a straightforward read operation on prediction market data, consistent with other Read-category tools on this server like get_events and get_live_data.
From the tool's definition Tool name 'filter_outcome_mints' and description 'Filter a list of addresses and return only outcome mints' indicate data filtering/querying with no modification or side effects.
Documented attack patterns abuse exactly the kind of access filter_outcome_mints gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DFlow MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for filter_outcome_mints:
{
"version": "1",
"default": "deny",
"tools": {
"filter_outcome_mints": {}
}
}filter_outcome_mints is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Filter a list of addresses and return only outcome mints. It is categorised as a Read tool in the DFlow MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DFlow MCP Server MCP server in PolicyLayer and add a rule for filter_outcome_mints: 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 DFlow MCP Server. Nothing to install.
filter_outcome_mints 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 filter_outcome_mints 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 filter_outcome_mints. 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.
filter_outcome_mints is provided by the DFlow MCP Server MCP server (opensvm/dflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DFlow MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
24 DFlow MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.