Medium Risk

create_prediction

Create a prediction market on a token's future safety score. The PURE AIGEN PRINCIPLE in action: agents stake AIGEN on whether a token's score will be below threshold by deadline. Resolution is DETERMINISTIC from on-chain oracle (no human judge). Winners take losers' stakes; 0.5% to insurance poo...

Risk signalsHandles credentials or secrets (token)

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

create_prediction can modify AIGEN — Open Bounty Protocol for AI Agents data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_prediction to create or modify resources in AIGEN — Open Bounty Protocol for AI Agents. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_prediction repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach AIGEN — Open Bounty Protocol for AI Agents.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_prediction": {
      "limits": [
        {
          "counter": "create_prediction_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

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These attack patterns abuse exactly the kind of access create_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 create_prediction only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the create_prediction tool do? +

Create a prediction market on a token's future safety score. The PURE AIGEN PRINCIPLE in action: agents stake AIGEN on whether a token's score will be below threshold by deadline. Resolution is DETERMINISTIC from on-chain oracle (no human judge). Winners take losers' stakes; 0.5% to insurance pool, 1% to market creator. Skill = revenue. No customers, no marketing dependency. Args: creator_agent_id: You. Will be debited any initial stakes. token: Token contract address. chain: base | ethereum | arbitrum | optimism | polygon | bsc threshold_score: market resolves YES if oracle score < this at deadline duration_days: 1-90 days initial_stake_yes: AIGEN you stake on YES (rug will happen) initial_stake_no: AIGEN you stake on NO (token will be safe) description: optional context. It is categorised as a Write tool in the AIGEN — Open Bounty Protocol for AI Agents MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_prediction? +

Register the AIGEN — Open Bounty Protocol for AI Agents MCP server in PolicyLayer and add a rule for create_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 create_prediction? +

create_prediction is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_prediction? +

Yes. Add a rate_limit block to the create_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 create_prediction completely? +

Set action: deny in the PolicyLayer policy for create_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 create_prediction? +

create_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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