Get the highest-priority liquidation candidates sorted by cross probability — borrowers most likely to become liquidatable in the next price move. Each candidate includes health factor, cross probability (0–1), estimated net profit, and protocol. Use this to prioritize which positions to pre-buil...
Part of the MEV Intelligence server.
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AI agents call monitor_crossing_candidates to retrieve information from MEV 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 monitor_crossing_candidates 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": {
"monitor_crossing_candidates": {}
}
}See the full MEV Intelligence policy for all 9 tools.
These attack patterns abuse exactly the kind of access monitor_crossing_candidates 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.
Get the highest-priority liquidation candidates sorted by cross probability — borrowers most likely to become liquidatable in the next price move. Each candidate includes health factor, cross probability (0–1), estimated net profit, and protocol. Use this to prioritize which positions to pre-build bundles for. Call submit_bundle when a candidate crosses HF=1.0.. It is categorised as a Read tool in the MEV Intelligence MCP Server, which means it retrieves data without modifying state.
Register the MEV Intelligence MCP server in PolicyLayer and add a rule for monitor_crossing_candidates: 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 MEV Intelligence. Nothing to install.
monitor_crossing_candidates 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 monitor_crossing_candidates 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 monitor_crossing_candidates. 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.
monitor_crossing_candidates is provided by the MEV Intelligence MCP server (https://mev.advalorem.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 MEV Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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