Reported earnings results and a model-derived earnings-trend signal for a company, by fiscal period: actual reported EPS, a trailing-trend EPS estimate (eps_trend_est), the deviation of actual vs that trend (eps_surprise_pct), reported revenue, and year-over-year revenue growth. IMPORTANT: eps_tr...
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AI agents call get_earnings_signals to retrieve information from Valuein — SEC EDGAR Fundamentals & Smart-Money Data 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 get_earnings_signals 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.
{
"version": "1",
"default": "deny",
"tools": {
"get_earnings_signals": {}
}
}See the full Valuein — SEC EDGAR Fundamentals & Smart-Money Data policy for all 68 tools.
These attack patterns abuse exactly the kind of access get_earnings_signals gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Reported earnings results and a model-derived earnings-trend signal for a company, by fiscal period: actual reported EPS, a trailing-trend EPS estimate (eps_trend_est), the deviation of actual vs that trend (eps_surprise_pct), reported revenue, and year-over-year revenue growth. IMPORTANT: eps_trend_est is NOT Wall Street analyst consensus — Valuein is sourced purely from SEC EDGAR and carries no consensus feed. It is a deterministic estimate computed from the company's own prior reported EPS, so eps_surprise_pct measures how far the print landed from its own trailing trend, not whether it 'beat the Street'. Use it to track earnings/revenue trajectory and momentum, not to claim a consensus beat or miss. Point-in-time safe — pass as_of_date to filter by SEC acceptance (accepted_at) for look-ahead-free backtests. Available on all plans.. It is categorised as a Read tool in the Valuein — SEC EDGAR Fundamentals & Smart-Money Data MCP Server, which means it retrieves data without modifying state.
Register the Valuein — SEC EDGAR Fundamentals & Smart-Money Data MCP server in PolicyLayer and add a rule for get_earnings_signals: 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 Valuein — SEC EDGAR Fundamentals & Smart-Money Data. Nothing to install.
get_earnings_signals 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 get_earnings_signals 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 get_earnings_signals. 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.
get_earnings_signals is provided by the Valuein — SEC EDGAR Fundamentals & Smart-Money Data MCP server (https://mcp.valuein.biz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 68 Valuein — SEC EDGAR Fundamentals & Smart-Money Data tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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