getCOTAnalysis
Gain in-depth insights into market sentiment with the FMP COT Report Analysis API. Analyze the Commitment of Traders (COT) reports for a specific date range to evaluate market dynamics, sentiment, and potential reversals across various sectors.
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What getCOTAnalysis does on Financial Modeling Prep MCP Server
AI agents call getCOTAnalysis to retrieve information from Financial Modeling Prep MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why getCOTAnalysis is rated Low
The tool retrieves and analyzes pre-existing financial data (COT reports) to provide insights. It performs no data modification, deletion, financial transactions, or code execution. The output is analytical interpretation of market data, which is a classic Read operation. Low severity because misuse would only result in incorrect analysis, not system compromise or financial loss.
From the tool's definition getCOTAnalysis 'Analyze the Commitment of Traders (COT) reports for a specific date range to evaluate market dynamics, sentiment, and potential reversals' — describes reading and analyzing existing COT report data with no modification, deletion, or execution…
Attacks that exploit this kind of access
The rule that runs getCOTAnalysis safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For getCOTAnalysis, this is the rule to start with:
getCOTAnalysis is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Financial Modeling Prep MCP Server, apply this rule, and every getCOTAnalysis call is checked against it from then on.
Questions about getCOTAnalysis
Gain in-depth insights into market sentiment with the FMP COT Report Analysis API. Analyze the Commitment of Traders (COT) reports for a specific date range to evaluate market dynamics, sentiment, and potential reversals across various sectors. 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 getCOTAnalysis: 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.
getCOTAnalysis 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 getCOTAnalysis 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 getCOTAnalysis. 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.
getCOTAnalysis 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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