predict_kalshi
Searches live Kalshi prediction markets by keyword — title, YES probability, bid/ask, volume and close time. Kalshi is t Cost: $0.005–$0.05 USDC on Base per call.
This record as markdown: /tools/com-gocreativeai-omnicall-agent-tools/predict-kalshi.md
What predict_kalshi does on Omnicall — Agent Tools Gateway
AI agents call predict_kalshi to retrieve information from Omnicall — Agent Tools Gateway 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 |
|---|---|---|---|
arg | string | Yes |
Parameters from the server's own tool schema.
Why predict_kalshi is rated Low
This is a straightforward market data query tool. Although the server involves financial markets and charges USDC per call, the tool itself only retrieves and displays existing prediction market information without executing trades, moving funds, or modifying data. The financial aspect (USDC cost) is a usage fee, not a financial transaction risk.
From the tool's definition Tool 'predict_kalshi' searches live Kalshi prediction markets and retrieves market data (title, YES probability, bid/ask, volume, close time). The verb 'searches' and data retrieval nature indicate no data modification, deletion, or code execution.
Attacks that exploit this kind of access
The rule that runs predict_kalshi safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Omnicall — Agent Tools Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For predict_kalshi, this is the rule to start with:
predict_kalshi 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 Omnicall — Agent Tools Gateway, apply this rule, and every predict_kalshi call is checked against it from then on.
Questions about predict_kalshi
Searches live Kalshi prediction markets by keyword — title, YES probability, bid/ask, volume and close time. Kalshi is t Cost: $0.005–$0.05 USDC on Base per call. It is categorised as a Read tool in the Omnicall — Agent Tools Gateway MCP Server, which means it retrieves data without modifying state.
predict_kalshi accepts 1 parameter: arg. Required: arg. The full parameter table on this page comes from the server's own tool schema.
Register the Omnicall — Agent Tools Gateway MCP server in PolicyLayer and add a rule for predict_kalshi: 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 Omnicall — Agent Tools Gateway. Nothing to install.
predict_kalshi 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 predict_kalshi 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 predict_kalshi. 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.
predict_kalshi is provided by the Omnicall — Agent Tools Gateway MCP server (https://omnicall.gocreativeai.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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