predict.kalshi-markets
Browse Kalshi regulated prediction markets. Filter by status (open/closed/settled), eventTicker, seriesTicker, or specific tickers; page with limit + cursor. Each market returns yes/no bid+ask and last price (dollars, 0-1 = implied probability), 24h + total volume, liquidity, open interest, open/...
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What predict.kalshi-markets does on Mcp
AI agents call predict.kalshi-markets to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why predict.kalshi-markets is rated Low
This tool retrieves and queries prediction market data from Kalshi without creating, modifying, deleting, or executing any transactions. It is a read-only data access interface that returns structured market information. While the underlying markets involve financial instruments, the tool itself performs only information retrieval with no capability to place trades, move funds, or commit financial obligations.
From the tool's definition Tool description explicitly states 'Read-only mirror of Kalshi' and lists only retrieval operations: browse, filter, page through markets. Returns market data including prices, volumes, liquidity, and settled results.
Attacks that exploit this kind of access
The rule that runs predict.kalshi-markets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For predict.kalshi-markets, this is the rule to start with:
predict.kalshi-markets is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every predict.kalshi-markets call is checked against it from then on.
Questions about predict.kalshi-markets
Browse Kalshi regulated prediction markets. Filter by status (open/closed/settled), eventTicker, seriesTicker, or specific tickers; page with limit + cursor. Each market returns yes/no bid+ask and last price (dollars, 0-1 = implied probability), 24h + total volume, liquidity, open interest, open/close times, and result if settled. Read-only mirror of Kalshi\. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for predict.kalshi-markets: 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 Mcp. Nothing to install.
predict.kalshi-markets 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 predict.kalshi-markets 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 predict.kalshi-markets. 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.
predict.kalshi-markets is provided by the MCP server (@2sio/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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