Low Risk

sponsor_prediction

[REQUIRES SPONSOR] Graduate an opinion into a prediction market by sponsoring it. Costs 500K sats stake. Author can self-sponsor anytime; community sponsors need 10+ net upvotes. Auto-stakes you on the side matching the opinion's sentiment.

Part of the Frenex Ai MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call sponsor_prediction 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 sponsor_prediction 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.

frenexai-frenex.yaml
tools:
  sponsor_prediction:
    rules:
      - action: allow

See the full Frenex Ai policy for all 27 tools.

Tool Name sponsor_prediction
Category Read
Risk Level Low

View all 27 tools →

Agents calling read-class tools like sponsor_prediction have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the sponsor_prediction tool do? +

[REQUIRES SPONSOR] Graduate an opinion into a prediction market by sponsoring it. Costs 500K sats stake. Author can self-sponsor anytime; community sponsors need 10+ net upvotes. Auto-stakes you on the side matching the opinion's sentiment.. It is categorised as a Read tool in the Frenex Ai MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sponsor_prediction? +

Add a rule in your Intercept YAML policy under the tools section for sponsor_prediction. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Frenex Ai MCP server.

What risk level is sponsor_prediction? +

sponsor_prediction is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sponsor_prediction? +

Yes. Add a rate_limit block to the sponsor_prediction rule in your Intercept 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.

How do I block sponsor_prediction completely? +

Set action: deny in the Intercept policy for sponsor_prediction. 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.

What MCP server provides sponsor_prediction? +

sponsor_prediction is provided by the Frenex Ai MCP server (frenexai/frenex). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Frenex Ai

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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