getBalanceSheetStatementTTM
Access detailed balance sheet statements for publicly traded companies with the Balance Sheet Data API. Analyze assets, liabilities, and shareholder equity to gain insights into a company's financial health.
This record as markdown: /tools/imbenrabi-financial-modeling-prep-mcp-server/getbalancesheetstatementttm.md
What getBalanceSheetStatementTTM does on Financial Modeling Prep (FMP) Server
AI agents call getBalanceSheetStatementTTM 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 |
|---|---|---|---|
limit | number | — | Limit on number of results (default: 100, max: 1000) |
symbol | string | — | Stock symbol |
Parameters from the server's own tool schema.
Why getBalanceSheetStatementTTM is rated Low
This tool queries and returns historical financial data (balance sheet information) about publicly traded companies. It performs a read-only operation with no side effects, no code execution, no financial transactions, and no data modification. The worst-case scenario of misuse is accessing publicly available financial information, which presents minimal risk. Classification as Read is appropriate.
From the tool's definition getBalanceSheetStatementTTM retrieves 'detailed balance sheet statements' and enables users to 'analyze assets, liabilities, and shareholder equity' - this is data retrieval with no modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
The rule that runs getBalanceSheetStatementTTM 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 getBalanceSheetStatementTTM, this is the rule to start with:
getBalanceSheetStatementTTM 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 getBalanceSheetStatementTTM call is checked against it from then on.
Questions about getBalanceSheetStatementTTM
Access detailed balance sheet statements for publicly traded companies with the Balance Sheet Data API. Analyze assets, liabilities, and shareholder equity to gain insights into a company's financial health. It is categorised as a Read tool in the Financial Modeling Prep (FMP) Server MCP Server, which means it retrieves data without modifying state.
getBalanceSheetStatementTTM accepts 2 parameters: limit, symbol. 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 getBalanceSheetStatementTTM: 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.
getBalanceSheetStatementTTM 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 getBalanceSheetStatementTTM 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 getBalanceSheetStatementTTM. 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.
getBalanceSheetStatementTTM 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.
More on Financial Modeling Prep (FMP) Server, and thousands of servers like it.
Across the catalogue