BTC Multi-Factor Regime Classification: Returns the multi-factor BTC regime label (bull/bear/ranging/volatile) plus the continuous feature vector that produced it: 200-SMA trend, realized volatility percentile, drawdown from 90d high, BTC-SPX 30d Pearson correlation, BTC-NDX 30d Pearson correlati...
Part of the Agent Einstein — Autonomous Crypto Intelligence server.
Free to start. No card required.
AI agents call regime_classification to retrieve information from Agent Einstein — Autonomous Crypto 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 regime_classification 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": {
"regime_classification": {}
}
}See the full Agent Einstein — Autonomous Crypto Intelligence policy for all 72 tools.
These attack patterns abuse exactly the kind of access regime_classification 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.
BTC Multi-Factor Regime Classification: Returns the multi-factor BTC regime label (bull/bear/ranging/volatile) plus the continuous feature vector that produced it: 200-SMA trend, realized volatility percentile, drawdown from 90d high, BTC-SPX 30d Pearson correlation, BTC-NDX 30d Pearson correlation, funding-rate breadth, composite risk-on score. Replaces 1D funding-only regime models with a real macro-aware classifier. Ideal for any agent that needs to bias trading decisions by regime.. It is categorised as a Read tool in the Agent Einstein — Autonomous Crypto Intelligence MCP Server, which means it retrieves data without modifying state.
Register the Agent Einstein — Autonomous Crypto Intelligence MCP server in PolicyLayer and add a rule for regime_classification: 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 Agent Einstein — Autonomous Crypto Intelligence. Nothing to install.
regime_classification 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 regime_classification 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 regime_classification. 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.
regime_classification is provided by the Agent Einstein — Autonomous Crypto Intelligence MCP server (https://emc2ai.io/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 72 Agent Einstein — Autonomous Crypto Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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