getIncomeStatementsBulk
The Bulk Income Statement API allows users to retrieve detailed income statement data in bulk. This API is designed for large-scale data analysis, providing comprehensive insights into a company's financial performance, including revenue, gross profit, expenses, and net income.
This record as markdown: /tools/imbenrabi-financial-modeling-prep-mcp-server/getincomestatementsbulk.md
What getIncomeStatementsBulk does on Financial Modeling Prep (FMP) Server
AI agents call getIncomeStatementsBulk 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 |
|---|---|---|---|
year | string | — | Year (e.g., 2023) |
period | string | — | Period (Q1, Q2, Q3, Q4, FY) |
Parameters from the server's own tool schema.
Why getIncomeStatementsBulk is rated Low
This is a straightforward data retrieval tool that fetches historical financial statements for analysis purposes. While it accesses sensitive financial information, it performs no write operations, does not execute code or transactions, and does not modify or delete data. The 'Bulk' aspect refers to batch retrieval efficiency, not to any destructive or transactional capability.
From the tool's definition Tool retrieves and queries 'detailed income statement data' with no indication of modification, deletion, or financial transactions. The description explicitly states it 'allows users to retrieve' financial performance data.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs getIncomeStatementsBulk 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 getIncomeStatementsBulk, this is the rule to start with:
getIncomeStatementsBulk 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 getIncomeStatementsBulk call is checked against it from then on.
Questions about getIncomeStatementsBulk
The Bulk Income Statement API allows users to retrieve detailed income statement data in bulk. This API is designed for large-scale data analysis, providing comprehensive insights into a company's financial performance, including revenue, gross profit, expenses, and net income. It is categorised as a Read tool in the Financial Modeling Prep (FMP) Server MCP Server, which means it retrieves data without modifying state.
getIncomeStatementsBulk accepts 2 parameters: year, period. 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 getIncomeStatementsBulk: 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.
getIncomeStatementsBulk 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 getIncomeStatementsBulk 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 getIncomeStatementsBulk. 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.
getIncomeStatementsBulk 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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