predict.kalshi-trades

Recent trades on Kalshi, optionally filtered to one market ticker. Returns each trade

SERVERMcp SOURCE@2sio/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-2s-io-mcp/predict.kalshi-trades.md

WHAT IT DOES

What predict.kalshi-trades does on Mcp

AI agents call predict.kalshi-trades 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.

RISK

Why predict.kalshi-trades is rated Low

This tool retrieves historical trade data from Kalshi markets (optionally filtered by ticker). It is purely informational—fetching and presenting trade records without side effects. The tool does not execute trades, modify orders, delete data, or trigger financial transactions; it only queries and returns trade information.

From the tool's definition Tool description states it 'Returns each trade' from Kalshi, indicating retrieval of historical/recent trade data with no modification or execution capability.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs predict.kalshi-trades 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-trades, this is the rule to start with:

predict.kalshi-trades Allowed

predict.kalshi-trades is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "predict.kalshi-trades": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every predict.kalshi-trades call is checked against it from then on.

FAQ

Questions about predict.kalshi-trades

What does the predict.kalshi-trades tool do? +

Recent trades on Kalshi, optionally filtered to one market ticker. Returns each trade. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on predict.kalshi-trades? +

Register the MCP server in PolicyLayer and add a rule for predict.kalshi-trades: 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.

What risk level is predict.kalshi-trades? +

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

Can I rate-limit predict.kalshi-trades? +

Yes. Add a rate_limit block to the predict.kalshi-trades 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 predict.kalshi-trades completely? +

Set action: deny in the PolicyLayer policy for predict.kalshi-trades. 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 predict.kalshi-trades? +

predict.kalshi-trades 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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