getHistoricalIndustryPerformance
Access historical performance data for industries using the Historical Industry Performance API. Track long-term trends and analyze how different industries have evolved over time across various stock exchanges.
This record as markdown: /tools/imbenrabi-financial-modeling-prep-mcp-server/gethistoricalindustryperformance.md
What getHistoricalIndustryPerformance does on Financial Modeling Prep (FMP) Server
AI agents call getHistoricalIndustryPerformance to retrieve information from Financial Modeling Prep (FMP) Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
to | string | — | End date (YYYY-MM-DD) |
from | string | — | Start date (YYYY-MM-DD) |
exchange | string | — | Exchange (e.g., NASDAQ) |
industry | string | — | Industry (e.g., Biotechnology) |
Parameters from the server's own tool schema.
Why getHistoricalIndustryPerformance is rated Low
This tool retrieves and queries historical performance metrics for industries. It has no side effects, does not modify data, execute code, delete records, or involve financial transactions. The action is informational analysis only, making it a Read operation with low severity.
From the tool's definition Tool name contains 'get' and description explicitly states 'Access historical performance data' and 'Track long-term trends and analyze' — pure data retrieval with no modification, deletion, or execution capability.
Attacks that exploit this kind of access
The rule that runs getHistoricalIndustryPerformance safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep (FMP) Server , and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For getHistoricalIndustryPerformance, this is the rule to start with:
getHistoricalIndustryPerformance 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 (FMP) Server , apply this rule, and every getHistoricalIndustryPerformance call is checked against it from then on.
Questions about getHistoricalIndustryPerformance
Access historical performance data for industries using the Historical Industry Performance API. Track long-term trends and analyze how different industries have evolved over time across various stock exchanges. It is categorised as a Read tool in the Financial Modeling Prep (FMP) Server MCP Server, which means it retrieves data without modifying state.
getHistoricalIndustryPerformance accepts 4 parameters: to, from, exchange, industry. The full parameter table on this page comes from the server's own tool schema.
Register the Financial Modeling Prep (FMP) Server MCP server in PolicyLayer and add a rule for getHistoricalIndustryPerformance: 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 (FMP) Server . Nothing to install.
getHistoricalIndustryPerformance 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 getHistoricalIndustryPerformance 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 getHistoricalIndustryPerformance. 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.
getHistoricalIndustryPerformance is provided by the Financial Modeling Prep (FMP) Server MCP server (imbenrabi/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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