Daily end-of-day stock prices (open/high/low, close, split- & dividend-adjusted adj_close, volume) for US exchange-listed companies. Sourced from a market-data feed, not SEC filings. Markets are open only on business days, so rows exist ONLY for trading days — the data IS the trading calendar: - ...
Part of the MetricDuck — Financial Analysis server.
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AI agents call get_stock_price to retrieve information from MetricDuck — Financial Analysis 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_stock_price 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_stock_price": {}
}
}See the full MetricDuck — Financial Analysis policy for all 22 tools.
These attack patterns abuse exactly the kind of access get_stock_price 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.
Daily end-of-day stock prices (open/high/low, close, split- & dividend-adjusted adj_close, volume) for US exchange-listed companies. Sourced from a market-data feed, not SEC filings. Markets are open only on business days, so rows exist ONLY for trading days — the data IS the trading calendar: - Price ON OR AFTER a date (e.g. an announcement landing on a weekend): pass start_date=<date>; the FIRST row is that date or the next open day. - Price ON OR BEFORE a date: pass end_date=<date>; the LAST row is that date or the prior open day. - A single specific date: pass start_date=<date> (omit end_date) — returns a short forward window whose first row is your on/after price. Use Cases: - "AAPL close on 2025-07-28" -> get_stock_price("AAPL", start_date="2025-07-28") (first row = that day or next open day) - "DKNG total return 2025-01-02 → 2026-02-27" -> TWO calls: get_stock_price("DKNG", start_date="2025-01-02") and get_stock_price("DKNG", end_date="2026-02-27"); take each first/last close and compute the return (cheaper than one 14-month window) - "SUI 1/14/30 calendar days after an 8-K date" -> get_stock_price("SUI", start_date="<announce>", end_date="<announce + ~32d>"), then pick the first row on/after announce, +1, +14, +30 - "Latest price" -> get_stock_price("AAPL") When the window spans ≥2 trading days, the response also reports the first/last close and the period return on BOTH close (literal point-to-point) and adj_close (split/dividend-adjusted — the true economic return; the two diverge across a split or dividend). Coverage: ~8,400 US common-equity tickers, end-of-day only (no intraday/real-time, no options/FX). Recent history is dense; deep pre-2014 history may be sparse. For period-end valuation multiples (P/E, EV/EBITDA, P/B) use get_metric_history; to assemble a CUSTOM multiple (e.g. lease-adjusted EV) combine this price with get_metric_history("ticker","oper_lease_liabs" / "ttl_debt" / "cash_st_invs" / "ttl_equity" / "shares_basic").. It is categorised as a Read tool in the MetricDuck — Financial Analysis MCP Server, which means it retrieves data without modifying state.
Register the MetricDuck — Financial Analysis MCP server in PolicyLayer and add a rule for get_stock_price: 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 MetricDuck — Financial Analysis. Nothing to install.
get_stock_price 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_stock_price 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_stock_price. 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_stock_price is provided by the MetricDuck — Financial Analysis MCP server (https://mcp.metricduck.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 MetricDuck — Financial Analysis tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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