Lite Beta V.1
    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

    NameTypeRequiredDescription
    userIdstringYesUnique identifier for the user
    categorystringYesType of recommendation: dining, travel, shopping, entertainment
    locationstringNoGeographic location for recommendations
    preferencesobjectNoUser 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.