The Ratios TTM Bulk API offers an efficient way to retrieve trailing twelve months (TTM) financial ratios for stocks. It provides users with detailed insights into a company’s profitability, liquidity, efficiency, leverage, and valuation ratios, all based on the most recent financial report.
AI agents call getRatiosTTMBulk 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 and queries financial ratio data based on existing company filings. It has no side effects, does not modify data, does not execute operations, and does not move money. It is a pure read operation providing analysis metrics derived from public financial statements.
From the tool's definition Tool name 'getRatiosTTMBulk' and description 'retrieve trailing twelve months (TTM) financial ratios' indicate data retrieval only. No modification, deletion, execution, or financial transaction capabilities are mentioned.
Attacks that exploit this kind of access
The Ratios TTM Bulk API offers an efficient way to retrieve trailing twelve months (TTM) financial ratios for stocks. It provides users with detailed insights into a company’s profitability, liquidity, efficiency, leverage, and valuation ratios, all based on the most recent financial report. 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 getRatiosTTMBulk: 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.
getRatiosTTMBulk 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 getRatiosTTMBulk 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 getRatiosTTMBulk. 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.
getRatiosTTMBulk 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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