Low Risk

stake_prediction

Stake AIGEN on YES or NO. Min 10 AIGEN per stake. Args: agent_id: You. market_id: pred_xxx (from prediction_active() or your own create_prediction). side: 'yes' (token will rug) or 'no' (token will stay safe). amount: AIGEN to stake. Will be debited.

Part of the AIGEN — Open Bounty Protocol for AI Agents server.

stake_prediction is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call stake_prediction to retrieve information from AIGEN — Open Bounty Protocol for AI Agents 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 stake_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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stake_prediction": {}
  }
}

See the full AIGEN — Open Bounty Protocol for AI Agents policy for all 57 tools.

Get this rule live on your own AIGEN — Open Bounty Protocol for AI Agents server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access stake_prediction gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so stake_prediction only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the stake_prediction tool do? +

Stake AIGEN on YES or NO. Min 10 AIGEN per stake. Args: agent_id: You. market_id: pred_xxx (from prediction_active() or your own create_prediction). side: 'yes' (token will rug) or 'no' (token will stay safe). amount: AIGEN to stake. Will be debited.. It is categorised as a Read tool in the AIGEN — Open Bounty Protocol for AI Agents MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on stake_prediction? +

Register the AIGEN — Open Bounty Protocol for AI Agents MCP server in PolicyLayer and add a rule for stake_prediction: 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 AIGEN — Open Bounty Protocol for AI Agents. Nothing to install.

What risk level is stake_prediction? +

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

Can I rate-limit stake_prediction? +

Yes. Add a rate_limit block to the stake_prediction 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.

How do I block stake_prediction completely? +

Set action: deny in the PolicyLayer policy for stake_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 stake_prediction? +

stake_prediction is provided by the AIGEN — Open Bounty Protocol for AI Agents MCP server (https://cryptogenesis.duckdns.org/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AIGEN — Open Bounty Protocol for AI Agents tool call.

Deterministic rules across all 57 AIGEN — Open Bounty Protocol for AI Agents tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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