AI-Powered Sports Analytics Platform

Enterprise-grade AI and machine learning for data-driven betting decisions. Trusted by professional analysts and hedge funds.

5M+

Monthly API Calls

99.9%

Uptime Reliability

500+

Developers Served

API for All Sports Data

Automated position management

Real-Time Analytics

Live data & predictions

Risk Management

Advanced risk controls

Our Core Services

Comprehensive AI-driven sports analytics solutions

Data Aggregation

Collect and normalize data from 200+ sources with sub-second latency and advanced cleaning algorithms.

  • Multi-source data integration
  • Real-time processing
  • Machine learning validation

Predictive Analytics

Advanced machine learning models that predict sports outcomes with unprecedented accuracy.

  • 99.9% data precision
  • Continuous model retraining
  • Multi-factor analysis

Risk Management

Sophisticated risk assessment and portfolio optimization tools for professional traders.

  • Kelly criterion integration
  • Real-time position sizing
  • Advanced hedging strategies

Simple, Transparent Pricing

Choose the plan that fits your needs

Pro

$499/mo

  • Basic API access
  • Real-time data
  • 5 sports coverage
Popular

Business

$1,499/mo

  • Full API access
  • Advanced analytics
  • All sports coverage
  • Priority support

Enterprise

Custom

  • Custom solutions
  • White-label options
  • On-premise deployment
  • 24/7 dedicated support

Developer Documentation

Python Node.js REST API

# Real-time odds tracking
from betml import BetML

client = BetML(api_key="your_key")

# Subscribe to specific markets
@client.on("odds_update")
async def handle_update(data):
    if data.market == "NFL" and data.line_move > 0.5:
        # Automated trading logic
        position = await client.analyze_position({
            "event_id": data.event_id,
            "market": data.market,
            "model": "ml_v2"  # ML model version
        })
        
        if position.confidence > 0.85:
            trade = await client.execute_trade({
                "event_id": data.event_id,
                "side": position.recommended_side,
                "stake": calculate_kelly(position)
            })
            
            print(f"Trade executed: {trade.id}")
                        

Python SDK

Full async support with pandas integration

View Docs →

Node.js SDK

TypeScript support & WebSocket streams

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REST API

OpenAPI spec with example requests

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Guides

Integration tutorials & best practices

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FAQ

What data sources do you use?

We aggregate data from major sportsbooks, proprietary feeds, and historical databases with sub-second latency. All data is normalized and validated through our ML pipeline.

How do you handle API rate limits?

Enterprise plans include unlimited API calls with dedicated infrastructure. We provide both REST and WebSocket endpoints with automatic rate limiting and queueing.

What is your uptime SLA?

We guarantee 99.99% uptime for enterprise customers with automated failover across multiple regions. Real-time system status and incident reports are available.

How reliable is your sports data?

Our API delivers 99.9% data accuracy across all major sports markets, supported by real-time updates and continuous quality checks. Comprehensive documentation and live support are available to ensure seamless integration.

Can we deploy on-premise?

Yes, enterprise customers can deploy our platform in their own infrastructure with full support for AWS, GCP, and Azure. We provide Docker containers and K8s configs.

What security measures do you have?

We use industry-standard encryption, 2FA, audit logging, and role-based access control. We're SOC 2 Type II certified and GDPR compliant.

Contact Our Team

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