kalshi_markets
Query live Kalshi prediction markets (CFTC-regulated US exchange). Returns question, implied probability (0-1, derived from the yes bid/ask mid), volume, open interest, close time and URL. Optional free-text filter on the question.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/kalshi-markets.md
What kalshi_markets does on Mcp Knowledge
AI agents call kalshi_markets to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
limit | integer | — | Maximum markets (default 20) |
query | string | — | Free-text filter on the market question |
status | string | — | Market status (default open) |
includeRaw | boolean | — | Include Kalshi's original fields (default false) |
includeUnpriced | boolean | — | Also return markets with no live bid/ask (default false — they carry no information) |
Parameters from the server's own tool schema.
Why kalshi_markets is rated Low
Retrieves market data without side effects, transaction capabilities, or destructive operations.
From the tool's definition Query live Kalshi prediction markets, returns question, implied probability, volume, open interest, close time.
Attacks that exploit this kind of access
The rule that runs kalshi_markets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For kalshi_markets, this is the rule to start with:
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 Knowledge, apply this rule, and every kalshi_markets call is checked against it from then on.
Questions about kalshi_markets
Query live Kalshi prediction markets (CFTC-regulated US exchange). Returns question, implied probability (0-1, derived from the yes bid/ask mid), volume, open interest, close time and URL. Optional free-text filter on the question. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
kalshi_markets accepts 6 parameters: async, limit, query, status, includeRaw, includeUnpriced. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for 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 Knowledge. Nothing to install.
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 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 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.
kalshi_markets is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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