calculateCustomLeveredDCF
Run a tailored Discounted Cash Flow (DCF) analysis using the FMP Custom DCF Advanced API. With detailed inputs, this API allows users to fine-tune their assumptions and variables, offering a more personalized and precise valuation for a company.
This record as markdown: /tools/imbenrabi-financial-modeling-prep-mcp-server/calculatecustomlevereddcf.md
What calculateCustomLeveredDCF does on Financial Modeling Prep (FMP) Server
AI agents call calculateCustomLeveredDCF 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 |
|---|---|---|---|
input | object | — |
Parameters from the server's own tool schema.
Why calculateCustomLeveredDCF is rated Low
This tool performs a financial calculation/analysis using provided inputs and returns a valuation result. It reads/computes data via the FMP API but does not move money, execute trades, delete data, or create/modify records. It is essentially a read/compute operation returning analytical output.
From the tool's definition Run a tailored Discounted Cash Flow (DCF) analysis... allowing users to fine-tune their assumptions and variables, offering a more personalized and precise valuation
Risk signalsHigh parameter count (20 properties)
Attacks that exploit this kind of access
The rule that runs calculateCustomLeveredDCF 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 calculateCustomLeveredDCF, this is the rule to start with:
calculateCustomLeveredDCF 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 calculateCustomLeveredDCF call is checked against it from then on.
Questions about calculateCustomLeveredDCF
Run a tailored Discounted Cash Flow (DCF) analysis using the FMP Custom DCF Advanced API. With detailed inputs, this API allows users to fine-tune their assumptions and variables, offering a more personalized and precise valuation for a company. It is categorised as a Read tool in the Financial Modeling Prep (FMP) Server MCP Server, which means it retrieves data without modifying state.
calculateCustomLeveredDCF accepts 1 parameter: input. 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 calculateCustomLeveredDCF: 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.
calculateCustomLeveredDCF 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 calculateCustomLeveredDCF 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 calculateCustomLeveredDCF. 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.
calculateCustomLeveredDCF 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