API Documentation

Comprehensive guide to integrating DataDiamond's quantum-powered sports analytics API

Developer Resources

Powerful Sports Analytics API

Access DataDiamond's quantum-powered predictions through our RESTful API. Get real-time match analysis, player statistics, and advanced analytics for educational and informational purposes.

99.9%

Uptime SLA

<200ms

Avg Response

24/7

Support

74%

Accuracy

Quick Start

Getting Started

1. Get Your API Key

Register for a DataDiamond account and navigate to your dashboard to generate an API key. Choose from Observer, Analyst, or Professional tiers based on your needs.

2. Make Your First Request

Start with a simple prediction request

curl -X GET \
  "https://api.datadiamond.ai/v1/predictions/matches?sport=tennis" \
  -H "Authorization: Bearer YOUR_API_KEY"

Security

Authentication

API Key

Recommended

Bearer token authentication for API access

Authorization: Bearer your_api_key_here

Security Level:High

OAuth 2.0

Recommended

Standard OAuth flow for third-party applications

Standard OAuth 2.0 implementation with PKCE

Security Level:Very High

Limits

Rate Limits

API usage limits by subscription tier to ensure fair access and optimal performance.

Observer

Hourly Limit

100/hour

Burst Limit

10/minute

Analyst

Hourly Limit

1,000/hour

Burst Limit

50/minute

Professional

Hourly Limit

10,000/hour

Burst Limit

200/minute

Rate Limit Headers

All API responses include rate limit information in headers:

X-RateLimit-Limit: 1000
X-RateLimit-Remaining: 999
X-RateLimit-Reset: 1635724800

Endpoints

API Reference

GET

Predictions

Auth Required

`/api/v1/predictions/matches`

Get match predictions with probability analysis

Parameters

Name	Type	Required	Description
sport	string		Sport type (tennis, basketball, etc.)
date	string	Optional	Match date (YYYY-MM-DD)
player1	string	Optional	First player/team identifier
player2	string	Optional	Second player/team identifier
confidence_min	number	Optional	Minimum confidence threshold (0-100)

Response Example

{
  "predictions": [
    {
      "match_id": "string",
      "player1": "string",
      "player2": "string",
      "player1_win_probability": 72.5,
      "player2_win_probability": 27.5,
      "confidence_score": 89.2,
      "key_factors": [
        "Recent form",
        "Head-to-head",
        "Surface advantage"
      ],
      "processing_time": 145,
      "disclaimer": "For informational purposes only"
    }
  ]
}

GET

Analytics

Auth Required

`/api/v1/analytics/player-performance`

Retrieve detailed player performance analytics

Parameters

Name	Type	Required	Description
player_id	string		Unique player identifier
timeframe	string	Optional	Analysis period (1m, 3m, 6m, 1y)
surface	string	Optional	Playing surface filter

Response Example

{
  "player_stats": {
    "win_rate": 76.3,
    "recent_form": 8.2,
    "ranking_trend": "improving",
    "surface_performance": {}
  }
}

GET

Models

Auth Required

`/api/v1/models/accuracy-metrics`

Get model performance and accuracy statistics

Parameters

Name	Type	Required	Description
model_type	string	Optional	Model variant (quantum, classical, hybrid)
period	string	Optional	Evaluation period

Response Example

{
  "accuracy": 74.2,
  "precision": 76.8,
  "recall": 71.5,
  "f1_score": 74,
  "calibration_score": 92.1
}

POST

Subscriptions

Auth Required

`/api/v1/subscriptions/upgrade`

Upgrade user subscription tier

Parameters

Name	Type	Required	Description
tier	string		Target subscription tier
billing_cycle	string	Optional	monthly or yearly

Response Example

{
  "subscription": {
    "tier": "analyst",
    "status": "active",
    "next_billing": "2024-11-15"
  }
}

Examples

Code Examples

javascript

// Get match predictions
const response = await fetch('/api/v1/predictions/matches?sport=tennis', {
  headers: {
    'Authorization': 'Bearer your_api_key',
    'Content-Type': 'application/json'
  }
});

const data = await response.json();
console.log(data.predictions);

python

import requests

# Get match predictions
headers = {
    'Authorization': 'Bearer your_api_key',
    'Content-Type': 'application/json'
}

response = requests.get(
    'https://api.datadiamond.ai/v1/predictions/matches',
    headers=headers,
    params={'sport': 'tennis'}
)

predictions = response.json()['predictions']

curl

curl -X GET "https://api.datadiamond.ai/v1/predictions/matches?sport=tennis" \
  -H "Authorization: Bearer your_api_key" \
  -H "Content-Type: application/json"

SDKs

Official SDKs

Use our official SDKs for faster integration and better developer experience.

JavaScript/TypeScript

@datadiamond/js-sdk

Python

datadiamond-python

Go

github.com/datadiamond/go-sdk

Error Handling

Error Responses

Standard Error Format

{
  "error": {
    "code": "INVALID_API_KEY",
    "message": "The provided API key is invalid or expired",
    "details": {
      "suggestion": "Please check your API key and try again"
    },
    "timestamp": "2024-10-15T10:30:00Z",
    "request_id": "req_1234567890"
  }
}

HTTP Status Codes

200

Success

Request completed successfully

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions for this endpoint

429

Rate Limited

Too many requests, rate limit exceeded

500

Server Error

Internal server error occurred

Need Help?

Our developer support team is here to help you integrate DataDiamond's API successfully.