kalshi_exchange_schedule
Kalshi exchange schedule. Returns public exchange standard hours and maintenance windows from Kalshi market-data JSON.
This record as markdown: /tools/crawlora-mcp/kalshi-exchange-schedule.md
What kalshi_exchange_schedule does on Crawlora
AI agents use kalshi_exchange_schedule to create or update resources in Crawlora, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Crawlora environment.
Why kalshi_exchange_schedule is rated Medium
An AI agent can call kalshi_exchange_schedule faster than any human can review: one bad instruction and it creates or modifies resources in Crawlora by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs kalshi_exchange_schedule safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For kalshi_exchange_schedule, this is the rule to start with:
kalshi_exchange_schedule stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crawlora, apply this rule, and every kalshi_exchange_schedule call is checked against it from then on.
Questions about kalshi_exchange_schedule
Kalshi exchange schedule. Returns public exchange standard hours and maintenance windows from Kalshi market-data JSON. It is categorised as a Write tool in the Crawlora MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Crawlora MCP server in PolicyLayer and add a rule for kalshi_exchange_schedule: 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 Crawlora. Nothing to install.
kalshi_exchange_schedule is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the kalshi_exchange_schedule 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_exchange_schedule. 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_exchange_schedule is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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