| name | prediction-markets-analysis |
| description | Generate Kalshi prediction market research reports or fetch structured event history. Use when the user mentions Kalshi, prediction markets, market probability, expected return, or event history. |
Prediction Markets Analysis
Use this skill for Kalshi event research and historical prediction market analysis.
When to use
- The user shares a Kalshi market URL
- The user wants a structured report on one prediction market event
- The user wants event history across snapshots or runs
Query format
Generate a report for the Kalshi market <KALSHI_URL>.
For structured history retrieval:
Fetch historical data for the Kalshi event ticker <EVENT_TICKER>.
MCP calls
Report generation:
{
"server": "octagon-mcp",
"toolName": "octagon-prediction-markets-agent",
"arguments": {
"prompt": "Generate a report for the Kalshi market https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100"
}
}
Structured history:
{
"server": "octagon-mcp",
"toolName": "prediction_markets_history",
"arguments": {
"event_ticker": "KXBTCY-27JAN0100",
"limit": 50,
"include_analysis": true
}
}
Tool selection rules
- Use
octagon-prediction-markets-agent for analyst-style reports
- Use
prediction_markets_history for structured history, pagination, or time filtering
- If the user wants guaranteed fresh data, set
cache to false
Output expectations
- Compare model probability to market probability
- Highlight edge, expected return, and risk factors
- Surface missing Kalshi URL immediately when absent
Follow-up prompts
- "Refresh the report instead of using cache."
- "Show the event history with analysis included."
- "Summarize the largest drivers of divergence between model and market."