The Upgrades Downgrades Consensus Bulk API provides a comprehensive view of analyst ratings across all symbols. Retrieve bulk data for analyst upgrades, downgrades, and consensus recommendations to gain insights into the market
AI agents call getUpgradesDowngradesConsensusBulk 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 analyst rating data without side effects. It reads consensus recommendations and historical upgrade/downgrade information. No data is created, modified, deleted, or financial transactions are executed. The capability is purely informational aggregation of analyst opinions, making it a standard Read operation with minimal security risk.
From the tool's definition Tool name contains 'get' and description states 'Retrieve bulk data' and 'provides a comprehensive view' without any modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
The Upgrades Downgrades Consensus Bulk API provides a comprehensive view of analyst ratings across all symbols. Retrieve bulk data for analyst upgrades, downgrades, and consensus recommendations to gain insights into the market. 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 getUpgradesDowngradesConsensusBulk: 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.
getUpgradesDowngradesConsensusBulk 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 getUpgradesDowngradesConsensusBulk 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 getUpgradesDowngradesConsensusBulk. 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.
getUpgradesDowngradesConsensusBulk 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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