Low Risk

whale_alerts

Get real-time whale movements on Ethereum or Base. Detects $50K+ USDC transfers with AI-analyzed BULLISH/BEARISH signals. Price: $0.003/call via x402.

Part of the AI HUNTERZ — Autonomous Crypto Intelligence server.

whale_alerts 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 whale_alerts to retrieve information from AI HUNTERZ — Autonomous Crypto Intelligence 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 whale_alerts 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": {
    "whale_alerts": {}
  }
}

See the full AI HUNTERZ — Autonomous Crypto Intelligence policy for all 9 tools.

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These attack patterns abuse exactly the kind of access whale_alerts 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 whale_alerts 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 whale_alerts tool do? +

Get real-time whale movements on Ethereum or Base. Detects $50K+ USDC transfers with AI-analyzed BULLISH/BEARISH signals. Price: $0.003/call via x402.. It is categorised as a Read tool in the AI HUNTERZ — Autonomous Crypto Intelligence MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on whale_alerts? +

Register the AI HUNTERZ — Autonomous Crypto Intelligence MCP server in PolicyLayer and add a rule for whale_alerts: 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 AI HUNTERZ — Autonomous Crypto Intelligence. Nothing to install.

What risk level is whale_alerts? +

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

Can I rate-limit whale_alerts? +

Yes. Add a rate_limit block to the whale_alerts 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 whale_alerts completely? +

Set action: deny in the PolicyLayer policy for whale_alerts. 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 whale_alerts? +

whale_alerts is provided by the AI HUNTERZ — Autonomous Crypto Intelligence MCP server (https://ai-hunterz-mcp.hunterzai.workers.dev). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AI HUNTERZ — Autonomous Crypto Intelligence tool call.

Deterministic rules across all 9 AI HUNTERZ — Autonomous Crypto Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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