The Stock Peers Bulk API allows you to quickly retrieve a comprehensive list of peer companies for all stocks in the database. By accessing this data, you can easily compare a stock’s performance with its closest competitors or similar companies within the same industry or sector.
AI agents call getStockPeersBulk to retrieve information from Financial Modeling Prep MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves reference data (peer company lists) for comparative analysis. It performs no modifications, deletions, or financial transactions. The data returned is publicly available market information used for analysis purposes only. No arguments to this tool could cause destructive or financial harm—it is purely a read operation.
From the tool's definition Tool description states it 'retrieve[s] a comprehensive list of peer companies' and enables users to 'compare a stock's performance with its closest competitors'.
Attacks that exploit this kind of access
The Stock Peers Bulk API allows you to quickly retrieve a comprehensive list of peer companies for all stocks in the database. By accessing this data, you can easily compare a stock’s performance with its closest competitors or similar companies within the same industry or sector. It is categorised as a Read tool in the Financial Modeling Prep MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Financial Modeling Prep MCP Server MCP server in PolicyLayer and add a rule for getStockPeersBulk: 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 Financial Modeling Prep MCP Server. Nothing to install.
getStockPeersBulk 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 getStockPeersBulk 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 getStockPeersBulk. 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.
getStockPeersBulk is provided by the Financial Modeling Prep MCP Server MCP server (vijitdaroch/financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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