Upcoming earnings with AI context — flag scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to ...
Part of the Stocklake — AI Stock Intelligence server.
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AI agents call get_earnings_intelligence to retrieve information from Stocklake — AI Stock Intelligence 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_intelligence 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_intelligence": {}
}
}See the full Stocklake — AI Stock Intelligence policy for all 20 tools.
These attack patterns abuse exactly the kind of access get_earnings_intelligence 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.
Upcoming earnings with AI context — flag scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to one sector (e.g. "Technology") - min_flag_score: only return stocks with AI flag score >= this value (optional) Returns per stock (sorted by earnings_date ascending): - earnings_date: ISO UTC timestamp · is_estimate: whether date is estimated - symbol, name, sector, price, rsi, market_cap - eps_trailing, eps_forward (earnings expectations context) - ai_verdict, ai_flag_score, ai_confidence (nightly AI pipeline) - ai_risks: top 2 AI-identified risk factors - analyst_rating, analyst_target Pro tier only — AI pipeline cost attached.. It is categorised as a Read tool in the Stocklake — AI Stock Intelligence MCP Server, which means it retrieves data without modifying state.
Register the Stocklake — AI Stock Intelligence MCP server in PolicyLayer and add a rule for get_earnings_intelligence: 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 Stocklake — AI Stock Intelligence. Nothing to install.
get_earnings_intelligence 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_intelligence 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_intelligence. 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_intelligence is provided by the Stocklake — AI Stock Intelligence MCP server (https://api.stocklake.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 20 Stocklake — AI Stock Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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