kalshi_series
Kalshi series. Returns normalized Kalshi series rows from credential-free public market-data JSON.
This record as markdown: /tools/crawlora-mcp/kalshi-series.md
What kalshi_series does on Crawlora
AI agents call kalshi_series 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 |
|---|---|---|---|
limit | integer | — | Rows to return, default 25, max 200 |
cursor | string | — | Pagination cursor from a previous Kalshi response |
Parameters from the server's own tool schema.
Why kalshi_series is rated Low
This tool retrieves and presents existing public market data from Kalshi (a prediction market platform). It performs a query/fetch operation on public data with no ability to modify, delete, execute code, or commit financial transactions. The credential-free nature further confirms it is read-only access to public information.
From the tool's definition Tool returns normalized Kalshi series rows from credential-free public market-data JSON. The verb 'returns' and descriptor 'public market-data' indicate data retrieval without modification or execution. No side effects or external operations triggered.
Attacks that exploit this kind of access
The rule that runs kalshi_series 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_series, this is the rule to start with:
kalshi_series 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_series call is checked against it from then on.
Questions about kalshi_series
Kalshi series. Returns normalized Kalshi series rows 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_series accepts 2 parameters: limit, cursor. 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_series: 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_series 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_series 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_series. 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_series 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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