Detect recent large wallet movements for a token (whale tracking)
AI agents call whale_activity to retrieve information from AgentPay x402 — Economic-intelligence layer for AI Agents without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a Read operation: it queries and retrieves historical wallet movement data for analysis purposes. While the server handles financial transactions via USDC payments on Stellar, the whale_activity tool itself only fetches information. Severity is medium because whale-tracking data could inform front-running or market manipulation strategies if misused by an agent, despite being non-destructive reads.
From the tool's definition Tool name 'whale_activity' and description 'Detect recent large wallet movements for a token (whale tracking)' — retrieves and queries blockchain data on whale transactions without modifying state.
Attacks that exploit this kind of access
Detect recent large wallet movements for a token (whale tracking). It is categorised as a Read tool in the AgentPay x402 — Economic-intelligence layer for AI Agents MCP Server, which means it retrieves data without modifying state.
Register the AgentPay x402 — Economic-intelligence layer for AI Agents MCP server in PolicyLayer and add a rule for whale_activity: 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 AgentPay x402 — Economic-intelligence layer for AI Agents. Nothing to install.
whale_activity 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 whale_activity 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 whale_activity. 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.
whale_activity is provided by the AgentPay x402 — Economic-intelligence layer for AI Agents MCP server (romudille-bit/agentpay). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
whale_activity is one line of AgentPay x402 — Economic-intelligence layer for AI Agents's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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