Multi-model market intelligence. Queries 3+ LLMs in parallel for consensus analysis on a market question.
Part of the TSUNG AI Research & Analysis server.
Free to start. No card required.
AI agents call market_intel to retrieve information from TSUNG AI Research & 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 market_intel 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": {
"market_intel": {}
}
} See the full TSUNG AI Research & Analysis policy for all 11 tools.
These attack patterns abuse exactly the kind of access market_intel 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.
Multi-model market intelligence. Queries 3+ LLMs in parallel for consensus analysis on a market question.. It is categorised as a Read tool in the TSUNG AI Research & Analysis MCP Server, which means it retrieves data without modifying state.
Register the TSUNG AI Research & Analysis MCP server in PolicyLayer and add a rule for market_intel: 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 TSUNG AI Research & Analysis. Nothing to install.
market_intel 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 market_intel 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 market_intel. 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.
market_intel is provided by the TSUNG AI Research & Analysis MCP server (https://tsung-mcp-custom.a0985344368.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 TSUNG AI Research & Analysis tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.