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Bet Recommendations - Integration

Accessing and integrating with Future Anthem's Bet Recommendations

Overview

Future Anthem’s Bet Recommendations API provides sportsbook operators with a flexible, scalable solution for delivering personalised bet recommendations to players in real-time. The product leverages machine learning models to analyse historical player activity, betting markets and upcoming events to generate relevant, context-aware recommendations.

 

API Integration

API integration is the preferred and most common method for delivering personalised bet recommendations efficiently.

The Bet Recommendations API enables direct, real-time access to AI-driven bet recommendations for each player. Recommendations are generated dynamically based on the players recent activity and available upcoming sports events.

Endpoint Overview

  • Request Structure: https://mlasserve-sportbets.wh.future-anthem-lz-pr.com/recommended_for_you_singles
  • Method: GET
  • Authentication: x-api-key header

A typical request example:

curl -X 'GET' \
  'https://mlasserve-sportbets.future-anthem-lz-pr.com/recommended_for_you_singles?user_id=player123' \
  -H 'accept: application/json' \
  -H 'x-api-key: AbCdEfGhIJkLmNoPqRsTuVwXyZ123456=='

This retrieves the recommended for you single bet recommendations for the specified player.

Request Parameters

Parameter Type Location Required Description Example
user_id String Query ✅ Unique identifier for the player player123
sport String Query ❌ Filter by sport football
event_id String Query ❌ Filter by specific event ID 123456789
x-api-key String Header ✅ API key used for authentication AbCdEfGhIJkLmNoPqRsTuVwXyZ123456==

Response Structure

Each API response contains a player object (metadata about the player) and at present singles array (the recommended single bets).

Player Object

Field Type Description Example
player_id String Unique identifier for the player player123
country String Players country UK
site String Operator site or brand sportssite.com
control_group String Indicates if the player is in the control or target group False

Recommendation for Single Bets Object

Field Type Description Example
id String Unique identifier for the recommendation single_foot_001
sport String Sport type football
recommendation_type String Type of recommendation single
leg Array List of legs making up the recommendation [...]
leg.sport_key_id String Sport ID 1
leg.league_key_id String League or competition ID 101
leg.event_id String Event ID 123456789
leg.market_key_id String Market ID 998877665
leg.outcome_key_id String Selection ID 009008007
leg.event_time Integer Event start time in UNIX epoch seconds 1762632000

Example Response

Note: For demo purposes, the below response ID's have been replaced with readable values and the recommendations have been limited to 3.

{
  "player": {
    "player_id": "player123",
    "country": "UK",
    "site": "sportssite.com",
    "control_group": "False"
  },
  "singles": [
    {
      "id": "single_foot_001",
      "sport": "football",
      "recommendation_type": "single",
      "leg": [
        {
          "sport_key_id": "Football",
          "league_key_id": "English Premier League ",
          "event_id": "Arsenal vs Everton",
          "market_key_id": "First Goalscorer",
          "outcome_key_id": "Eberechi Eze",
          "event_time": 1762632000
        }
      ]
    },
    {
      "id": "single_foot_002",
      "sport": "football",
      "recommendation_type": "single",
      "leg": [
        {
          "sport_key_id": "Football",
          "league_key_id": "English Premier League",
          "event_id": "Tottenham vs Newcastle",
          "market_key_id": "Both Teams To Score",
          "outcome_key_id": "Yes",
          "event_time": 1762635600
        }
      ]
    },
    {
      "id": "single_foot_003",
      "sport": "football",
      "recommendation_type": "single",
      "leg": [
        {
          "sport_key_id": "Football",
          "league_key_id": "Spanish La Liga",
          "event_id": "Villareal vs Barcelona",
          "market_key_id": "Correct Score",
          "outcome_key_id": "2-0 Barcelona",
          "event_time": 1762639200
        }
      ]
    }
  ]
}


Other Integration Methods

In addition to direct API integration, bet recommendations can also be delivered using alternative methods to fit operational or technical constraints:

  • File Export: Personalised bet recommendations can be exported as CSV files, containing player IDs and recommended event, market and outcome IDs
  • SFTP Delivery: Exports can be securely transferred to operator servers via SFTP for ingestion into downstream systems
  • CRM or CMS Integration: Recommendations can be pushed directly into CRM or front-end content systems to support personalised messaging, promotions and in-app recommendations

 

Data Requirements

To ensure optimal recommendation accuracy and freshness, the model relies on recent player betting activity. Operators should provide regular updates of player bet transactions and outcomes.

For detailed instructions on how to integrate your data with Amplifier AI, refer to our data integration guide.