kalshi_event_history
Kalshi event history. Returns normalized Kalshi candlesticks grouped by market for one event from credential-free public market-data JSON.
This record as markdown: /tools/crawlora-mcp/kalshi-event-history.md
What kalshi_event_history does on Crawlora
AI agents call kalshi_event_history to retrieve information from Crawlora 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 |
|---|---|---|---|
end_ts | integer | — | Unix end timestamp in seconds. Defaults to now. |
start_ts | integer | — | Unix start timestamp in seconds. Defaults to 7 days ago. |
event_ticker | string | Yes | Kalshi event ticker |
series_ticker | string | — | Kalshi series ticker. Defaults to the event ticker prefix before the last dash. |
period_interval | integer | — | Candlestick interval in minutes. Default: 1440. |
include_latest_before_start | boolean | — | Include the latest candle before start_ts when supported upstream. |
Parameters from the server's own tool schema.
Why kalshi_event_history is rated Low
This tool queries historical market data from Kalshi (a public prediction market) and returns normalized candlestick data. It performs only read/retrieval operations on public data sources with no side effects, no data modification, no execution of arbitrary operations, and no financial transactions. The low severity reflects minimal risk even if misused, as it only surfaces publicly available information.
From the tool's definition Tool description states 'Returns normalized Kalshi candlesticks grouped by market for one event from credential-free public market-data JSON' — it retrieves and returns existing public market data with no modification capability.
Attacks that exploit this kind of access
The rule that runs kalshi_event_history 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_event_history, this is the rule to start with:
kalshi_event_history 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 Crawlora, apply this rule, and every kalshi_event_history call is checked against it from then on.
Questions about kalshi_event_history
Kalshi event history. Returns normalized Kalshi candlesticks grouped by market for one event from credential-free public market-data JSON. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
kalshi_event_history accepts 6 parameters: end_ts, start_ts, event_ticker, series_ticker, period_interval, include_latest_before_start. Required: event_ticker. The full parameter table on this page comes from the server's own tool schema.
Register the Crawlora MCP server in PolicyLayer and add a rule for kalshi_event_history: 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_event_history 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_event_history 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_event_history. 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_event_history 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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