predict.kalshi-orderbook
Order book for a Kalshi market by ticker: resting yes and no bids with price (dollars) and size (contracts). Optional depth. Read-only (no Kalshi key needed).
This record as markdown: /tools/io-github-2s-io-mcp/predict.kalshi-orderbook.md
What predict.kalshi-orderbook does on Mcp
AI agents call predict.kalshi-orderbook 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-orderbook is rated Low
This tool queries and retrieves order book data from Kalshi markets. It performs no write, execute, destructive, or financial operations—it only reads and presents existing market information. The explicit 'Read-only' designation confirms this classification. While the underlying market concerns financial data, the tool itself does not move money, commit obligations, or execute trades.
From the tool's definition Description explicitly states 'Order book for a Kalshi market by ticker: resting yes and no bids with price (dollars) and size (contracts)' and 'Read-only (no Kalshi key needed)'. The tool retrieves market data without modification or execution.
Attacks that exploit this kind of access
The rule that runs predict.kalshi-orderbook 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-orderbook, this is the rule to start with:
predict.kalshi-orderbook 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-orderbook call is checked against it from then on.
Questions about predict.kalshi-orderbook
Order book for a Kalshi market by ticker: resting yes and no bids with price (dollars) and size (contracts). Optional depth. Read-only (no Kalshi key needed). 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-orderbook: 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-orderbook 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-orderbook 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-orderbook. 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-orderbook 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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