Low Risk

agent_sofr

Agent-SOFR: decentralized USD short-rate benchmark for AI agents (weighted-median of 7 sources + variance + regime premiums; BNS-calibrated 6-mode classifier). Use as the risk-free benchmark for lend/borrow decisions. Returns annualized rate (%), its decomposition, current regime, and methodology...

Part of the RegimeShift server.

agent_sofr is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call agent_sofr to retrieve information from RegimeShift 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 agent_sofr 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "agent_sofr": {}
  }
}

See the full RegimeShift policy for all 4 tools.

Get this rule live on your own RegimeShift 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 agent_sofr gives an agent. Each links to the full case and the policy that stops it:

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the agent_sofr tool do? +

Agent-SOFR: decentralized USD short-rate benchmark for AI agents (weighted-median of 7 sources + variance + regime premiums; BNS-calibrated 6-mode classifier). Use as the risk-free benchmark for lend/borrow decisions. Returns annualized rate (%), its decomposition, current regime, and methodology. $0.001 USDC on Base.. It is categorised as a Read tool in the RegimeShift MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on agent_sofr? +

Register the RegimeShift MCP server in PolicyLayer and add a rule for agent_sofr: 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 RegimeShift. Nothing to install.

What risk level is agent_sofr? +

agent_sofr is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit agent_sofr? +

Yes. Add a rate_limit block to the agent_sofr 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 agent_sofr completely? +

Set action: deny in the PolicyLayer policy for agent_sofr. 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 agent_sofr? +

agent_sofr is provided by the RegimeShift MCP server (https://mcp.regimeshift.xyz/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every RegimeShift tool call.

Deterministic rules across all 4 RegimeShift tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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