octagon-mcp
Version:
MCP server for Octagon API. Provides specialized AI agents for investment research of public and private markets.
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Markdown
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
```text
Generate a report for the Kalshi market <KALSHI_URL>.
```
For structured history retrieval:
```text
Fetch historical data for the Kalshi event ticker <EVENT_TICKER>.
```
## MCP calls
Report generation:
```json
{
"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:
```json
{
"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."