# Action Network positive EV monitoring workflow

**Use case:** 

Keep only sportsbook markets meeting candidate arbitrage or positive-EV thresholds for a recurring monitoring workflow.

## Input

```json
{
  "leagues": [
    "mlb"
  ],
  "dates": [
    "2026-08-19"
  ],
  "bookIds": [
    "15",
    "21",
    "30",
    "68",
    "69",
    "71",
    "75",
    "76",
    "123"
  ],
  "marketTypes": [
    "moneyline",
    "spread",
    "total"
  ],
  "minArbitragePercent": 0,
  "minPositiveEvPercent": 0,
  "includeAllMarkets": false,
  "includeLive": true,
  "includeCompleted": false,
  "maxItems": 25
}
```

## Output

```json
{
  "league": {
    "label": "League",
    "format": "string"
  },
  "awayTeam": {
    "label": "Away",
    "format": "string"
  },
  "homeTeam": {
    "label": "Home",
    "format": "string"
  },
  "startTime": {
    "label": "Start",
    "format": "string"
  },
  "marketType": {
    "label": "Market",
    "format": "string"
  },
  "line": {
    "label": "Line",
    "format": "number"
  },
  "candidateArbitrage": {
    "label": "Arbitrage",
    "format": "boolean"
  },
  "arbitrageRoiPercent": {
    "label": "Arb ROI %",
    "format": "number"
  },
  "candidatePositiveEv": {
    "label": "+EV",
    "format": "boolean"
  },
  "bestPositiveEvPercent": {
    "label": "Best EV %",
    "format": "number"
  },
  "sportsbookCount": {
    "label": "Books",
    "format": "integer"
  },
  "sourceUrl": {
    "label": "Source",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Action Network Arbitrage & +EV Signals](https://apify.com/automation-lab/action-network-sportsbook-arbitrage-signals.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/action-network-sportsbook-arbitrage-signals.md) 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.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/automation-lab/action-network-sportsbook-arbitrage-signals.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).