# Tennis Live Scores AI Agent Tool

**Use case:** 

Call this actor as a live tennis scores tool from an AI agent through the Apify MCP server, no API key or data pipeline to maintain. Each run returns a small, fast batch of in-play ATP and WTA matches with the score, surface and both players rankings, sized for an agent that needs a quick answer rather than a bulk export. Point your agent at this task to add live tennis scores as a callable skill.

## Input

```json
{
  "mode": "live",
  "tourLevel": "all",
  "statusFilter": "live",
  "dateFrom": "2026-08-25",
  "dateTo": "2026-08-31",
  "matches": [
    "12836554"
  ],
  "includeStatistics": true,
  "includePointByPoint": false,
  "rankingTour": "atp",
  "query": "Carlos Alcaraz",
  "maxItems": 15,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "matchName": {
    "label": "Match",
    "format": "string"
  },
  "tourLevel": {
    "label": "Tour",
    "format": "string"
  },
  "tournament": {
    "label": "Tournament",
    "format": "string"
  },
  "surface": {
    "label": "Surface",
    "format": "string"
  },
  "roundName": {
    "label": "Round",
    "format": "string"
  },
  "homeRanking": {
    "label": "Home Rank",
    "format": "number"
  },
  "awayRanking": {
    "label": "Away Rank",
    "format": "number"
  },
  "sets": {
    "label": "Sets",
    "format": "array"
  },
  "statusDescription": {
    "label": "Status",
    "format": "string"
  },
  "matchUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Tennis Live Scores Scraper: ATP, WTA, Sets, Stats and Rankings](https://apify.com/getascraper/tennis-live-scores-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/tennis-live-scores-scraper.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/getascraper/tennis-live-scores-scraper.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`).