Retrieve a company's owner earnings with the Owner Earnings API, which provides a more accurate representation of cash available to shareholders by adjusting net income. This metric is crucial for evaluating a company’s profitability from the perspective of investors.
Part of the Financial Modeling Prep MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call getOwnerEarnings to retrieve information from Financial Modeling Prep without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though getOwnerEarnings only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
getOwnerEarnings:
rules:
- action: allowSee the full Financial Modeling Prep policy for all 253 tools.
Retrieve a company's owner earnings with the Owner Earnings API, which provides a more accurate representation of cash available to shareholders by adjusting net income. This metric is crucial for evaluating a company’s profitability from the perspective of investors.. It is categorised as a Read tool in the Financial Modeling Prep MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for getOwnerEarnings. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Financial Modeling Prep MCP server.
getOwnerEarnings 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 getOwnerEarnings rule in your Intercept 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 Intercept policy for getOwnerEarnings. 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.
getOwnerEarnings is provided by the Financial Modeling Prep MCP server (cfocoder/financial-modeling-prep-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept