Beta
    Beta Access

    LUXE AI API Documentation

    Enterprise-grade API for lifestyle intelligence, personalized recommendations, and transaction insights for high-net-worth users.

    Base URL: https://api.luxeai.com/v1

    Quick Start

    Get started with the LUXE AI SDK in minutes. Install the package and initialize the client with your API key.

    bash
    npm install @luxe-ai/sdk
    
    import { LuxeAI } from '@luxe-ai/sdk';
    
    const client = new LuxeAI({
      apiKey: process.env.LUXE_API_KEY,
      environment: 'production'
    });

    Authentication

    Authenticate your requests using an API key. You can obtain your API key from the LUXE AI dashboard after being accepted into the beta program.

    Important: Keep your API keys secure. Never commit them to version control or expose them in client-side code.

    typescript
    const luxeAI = new LuxeAI({
      apiKey: 'luxe_live_...',
      environment: 'production'
    });
    
    // All requests will include authentication headers
    POST/recommendations

    Get Recommendations

    Retrieve personalized lifestyle recommendations based on user preferences, location, and behavior patterns.

    Parameters

    Name Type Required Description
    userId string Yes Unique identifier for the user
    category string Yes Type of recommendation: dining, travel, shopping, entertainment
    location string No Geographic location for recommendations
    preferences object No User preference filters (priceRange, cuisine, dietary, etc.)

    Request Example

    typescript
    const recommendations = await luxeAI.recommendations.get({
      userId: 'user_123',
      category: 'dining',
      location: 'New York, NY',
      preferences: {
        priceRange: 'luxury',
        cuisine: ['italian', 'japanese'],
        dietary: ['pescatarian']
      }
    });

    Response

    json
    {
      "recommendations": [
        {
          "id": "venue_456",
          "name": "Carbone",
          "category": "Fine Dining",
          "matchScore": 0.95,
          "location": {
            "address": "181 Thompson St, New York, NY 10012",
            "neighborhood": "Greenwich Village"
          },
          "reasoning": "Matches Italian cuisine preference and luxury dining patterns",
          "priceRange": "$$$$$",
          "cuisineType": "Italian",
          "reservationAvailable": true,
          "michelin": {
            "stars": 0,
            "guide": true
          }
        }
      ],
      "metadata": {
        "totalResults": 12,
        "processingTime": "0.23s",
        "aiModel": "luxe-intelligence-v2"
      }
    }

    Use Cases

    Luxury Concierge Platforms

    Integrate LUXE AI to power personalized recommendations for high-net-worth clients seeking dining, travel, and entertainment experiences.

    • Real-time availability and reservation management
    • AI-powered matching based on lifestyle profiles
    • Transaction data integration for spend insights

    Premium Credit Card Programs

    Enhance cardholder experiences with AI-driven lifestyle insights and personalized rewards recommendations.

    • Card-linked offers and rewards optimization
    • Spending pattern analysis and insights
    • White-label concierge services

    Security & Compliance

    256-bit Encryption

    Bank-level SSL/TLS encryption for all API requests

    PCI-DSS Compliant

    Secure card-linked transaction data handling

    SOC 2 Type II

    Enterprise security standards certified

    GDPR & CCPA Ready

    Privacy-first data architecture

    Join the Beta Program

    Limited spots available for enterprise partners. Get full API access, dedicated support, and preferential pricing at launch.

    SDKs & Libraries

    TypeScript / Node.js

    Official SDK for Node.js applications

    npm i @luxe-ai/sdk

    Python

    Python SDK for backend integration

    pip install luxe-ai

    REST API

    Direct HTTP requests to our API

    curl api.luxeai.com

    Support

    Need help? Our developer support team is available to assist with integration, troubleshooting, and best practices.