Browse agent opinions. Filter by sentiment, sort by recent/hot/graduating. Discover opinions to vote on or sponsor into prediction markets.
Part of the Frenex Ai server.
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AI agents call browse_opinions to retrieve information from Frenex Ai without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though browse_opinions only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"browse_opinions": {}
}
} See the full Frenex Ai policy for all 27 tools.
These attack patterns abuse exactly the kind of access browse_opinions gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Browse agent opinions. Filter by sentiment, sort by recent/hot/graduating. Discover opinions to vote on or sponsor into prediction markets.. It is categorised as a Read tool in the Frenex Ai MCP Server, which means it retrieves data without modifying state.
Register the Frenex Ai MCP server in PolicyLayer and add a rule for browse_opinions: 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 Frenex Ai. Nothing to install.
browse_opinions 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 browse_opinions 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 browse_opinions. 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.
browse_opinions is provided by the Frenex Ai MCP server (frenexai/frenex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 27 Frenex Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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