High Risk →

varrd_edges

THE PRIMARY TOOL — start here. FREE at depth=0, always safe to call. Live feed of statistically validated trading edges running 24/7 against real market data. See what's firing right now, get trade levels, or audit the full methodology. THREE TIERS: depth=0 (FREE — call this first): See which mar...

Risk signalsBulk/mass operation — affects multiple targets

Part of the VARRD — Statistically Validated Trading Edges + AI Research Engine server.

varrd_edges can trigger actions in VARRD — Statistically Validated Trading Edges + AI Research Engine, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke varrd_edges to trigger processes or run actions in VARRD — Statistically Validated Trading Edges + AI Research Engine. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

varrd_edges can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "varrd_edges": {
      "limits": [
        {
          "counter": "varrd_edges_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full VARRD — Statistically Validated Trading Edges + AI Research Engine policy for all 9 tools.

Get this rule live on your own VARRD — Statistically Validated Trading Edges + AI Research Engine server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access varrd_edges gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so varrd_edges only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the varrd_edges tool do? +

THE PRIMARY TOOL — start here. FREE at depth=0, always safe to call. Live feed of statistically validated trading edges running 24/7 against real market data. See what's firing right now, get trade levels, or audit the full methodology. THREE TIERS: depth=0 (FREE — call this first): See which markets have edges firing right now, pending bar close, or actively in trades. Markets and status only — no direction, no stats. Get a sense of what's live. depth=1 ($0.50): Unlock direction, occurrence count, EV/trade, stop-loss, take-profit, hold horizon, and current entry prices for ALL active edges in one request. depth=2 ($1 per edge, $5 for all): Full methodology — the actual formula, setup code, how the edge was discovered, edge decay analysis, complete performance analytics (Sharpe, drawdown, equity curve, profit factor). Machine-readable so any AI can audit the statistical rigor. Includes drill-down sections (free after purchase): setup_code, horizons, analytics, occurrences, and view (interactive chart link for your user, 15 min). Every edge in this library is Bonferroni-corrected, tested against both zero returns and market baseline, with K-tracking to prevent p-hacking. Out-of-sample validated. Full transparency.. It is categorised as a Execute tool in the VARRD — Statistically Validated Trading Edges + AI Research Engine MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on varrd_edges? +

Register the VARRD — Statistically Validated Trading Edges + AI Research Engine MCP server in PolicyLayer and add a rule for varrd_edges: 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 VARRD — Statistically Validated Trading Edges + AI Research Engine. Nothing to install.

What risk level is varrd_edges? +

varrd_edges is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit varrd_edges? +

Yes. Add a rate_limit block to the varrd_edges 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.

How do I block varrd_edges completely? +

Set action: deny in the PolicyLayer policy for varrd_edges. 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.

What MCP server provides varrd_edges? +

varrd_edges is provided by the VARRD — Statistically Validated Trading Edges + AI Research Engine MCP server (https://app.varrd.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every VARRD — Statistically Validated Trading Edges + AI Research Engine tool call.

Deterministic rules across all 9 VARRD — Statistically Validated Trading Edges + AI Research Engine tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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