This API call returns earnings data for a given company, including EPS estimate and EPS actual. Earnings are available for complete company history.
AI agents call GetEarnings to retrieve information from Twelve Data MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical earnings data for companies without any side effects. It does not create, modify, delete, or execute operations. While the Twelve Data server provides financial market data, this specific tool is purely informational - it reads and returns earnings metrics.
From the tool's definition GetEarnings returns earnings data including EPS estimate and EPS actual - described as a data retrieval operation with no modification, deletion, or execution capabilities. The tool name and description indicate querying/fetching historical financial data.
Documented attack patterns abuse exactly the kind of access GetEarnings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twelve Data MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for GetEarnings:
{
"version": "1",
"default": "deny",
"tools": {
"GetEarnings": {}
}
} GetEarnings is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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This API call returns earnings data for a given company, including EPS estimate and EPS actual. Earnings are available for complete company history. It is categorised as a Read tool in the Twelve Data MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Twelve Data MCP Server MCP server in PolicyLayer and add a rule for GetEarnings: 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 Twelve Data MCP Server. Nothing to install.
GetEarnings 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 GetEarnings 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 GetEarnings. 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.
GetEarnings is provided by the Twelve Data MCP Server MCP server (twelvedata/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 186 Twelve Data MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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186 Twelve Data MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.