# Fed rate decision odds on Kalshi and Polymarket

**Use case:** 

Open Fed rate decision markets on Kalshi and Polymarket with the current probability, best bid and ask, volume and close date, and the same question matched across both venues so you can compare odds side by side.

## Input

```json
{
  "searchTerms": [
    "fed decision"
  ],
  "platforms": [
    "kalshi",
    "polymarket"
  ],
  "categories": [
    "Politics",
    "Crypto"
  ],
  "markets": [
    "https://kalshi.com/markets/kxfeddecision/fed-meeting/kxfeddecision-26oct",
    "https://polymarket.com/event/fed-decision-in-october"
  ],
  "status": [
    "open"
  ],
  "minVolume24h": 0,
  "minVolume": 0,
  "minLiquidity": 0,
  "maxItemsPerQuery": 10,
  "maxResults": 0,
  "priceHistory": "none",
  "historyDays": 7,
  "includeOrderBook": false,
  "onlyNew": false,
  "onlyChanged": false,
  "minChangePoints": 1
}
```

## Output

```json
{
  "matchKey": {
    "label": "Match key",
    "format": "string"
  },
  "platform": {
    "label": "Venue",
    "format": "string"
  },
  "question": {
    "label": "Question",
    "format": "string"
  },
  "probability": {
    "label": "Probability",
    "format": "number"
  },
  "matchedWith": {
    "label": "Other venue",
    "format": "object"
  },
  "probabilityGap": {
    "label": "Gap",
    "format": "number"
  },
  "matchConfidence": {
    "label": "Match confidence",
    "format": "number"
  },
  "volume24h": {
    "label": "24h volume",
    "format": "number"
  },
  "volumeUnit": {
    "label": "Unit",
    "format": "string"
  },
  "closeTime": {
    "label": "Closes",
    "format": "string"
  },
  "url": {
    "label": "Link",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Kalshi & Polymarket Odds Scraper (No Login, No API Key) Actor is ready to run with the inputs already set for "Fed rate decision odds on Kalshi and Polymarket". [Sign up or log in](https://console.apify.com/create-task-from-example/xLlgrZn3z4TAOEO29) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Fed rate decision odds on Kalshi and Polymarket" task

The Kalshi & Polymarket Odds Scraper (No Login, No API Key) Actor will start running based on the input automatically. You can also change all the input fields, like search terms, venues, and more, to match your specific use case.

### 3. Receive the "Fed rate decision odds on Kalshi and Polymarket" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as match key, venue, question, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Fed rate decision odds on Kalshi and Polymarket" task via API](https://apify.com/locaihost/prediction-markets.md).

## About this Actor

This example demonstrates how to use [Kalshi & Polymarket Odds Scraper (No Login, No API Key)](https://apify.com/locaihost/prediction-markets.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/locaihost/prediction-markets.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/locaihost/prediction-markets.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).