# Kalshi & Polymarket Odds — Live Prediction Markets

**Use case:** 

Live odds from both big US prediction markets in one schema: YES/NO prices, spreads, volume and open interest. Official APIs, no scraping.

## Input

```json
{
  "mode": "catalog",
  "venue": "both",
  "candlePeriod": "1d",
  "candleDays": 30,
  "maxMarkets": 100,
  "includeSports": false
}
```

## Output

```json
{
  "venue": {
    "label": "Venue",
    "format": "string"
  },
  "title": {
    "label": "Market",
    "format": "string"
  },
  "yes_price": {
    "label": "YES price",
    "format": "number"
  },
  "no_price": {
    "label": "NO price",
    "format": "number"
  },
  "spread": {
    "label": "Spread",
    "format": "number"
  },
  "volume_24h": {
    "label": "24h volume",
    "format": "number"
  },
  "open_interest": {
    "label": "Open interest",
    "format": "number"
  },
  "close_time": {
    "label": "Closes",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Prediction Market Odds — Kalshi & Polymarket](https://apify.com/lizaraco/prediction-market-data) with a specific input configuration. Visit the [Actor detail page](https://apify.com/lizaraco/prediction-market-data) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/lizaraco/prediction-market-data.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).