Amun-Ra AI API Documentation

Welcome to the official API documentation for Amun-Ra AI, a multimodal neuro-adaptive AI platform.

Our APIs allow you to integrate advanced real-time personalization and cognitive adaptation capabilities into your applications.

Authentication

API Keys

All requests must be authenticated with an API key provided upon registration. Include this key in your requests using the header:

Authorization: Bearer YOUR_API_KEY

Base URL

https://api.amun-ra.dev/v1/

Biometric Authentication API

Authenticate users securely using EEG, facial, and voice biometrics.

Endpoint:

POST /auth/biometric

Request Example:

{

  "eeg": "eeg_data_stream",

  "face": "face_image_data",

  "voice": "voice_audio_stream"

}

Response Example:

{

  "status": "authenticated",

  "confidence": 0.98,

  "userId": "user_123456"

}

Smart Ads Targeting API

Real-time adaptive advertising based on user emotional and cognitive state.

Endpoint:

POST /ads/adaptive

Request Example:

{

  "userStateVector": [0.23, 0.45, 0.67, 0.12],

  "currentContent": "sports_article"

}

Response Example:

{

  "recommendedAd": "sports_gear_ad",

  "engagementPrediction": 0.85

}

Adaptive Gaming API

Personalize gameplay dynamically based on user states.

Endpoint:

POST /gaming/adaptive

Request Example:

{

  "userStateVector": [0.72, 0.28, 0.64, 0.43],

  "gameContext": "level_5_boss_fight"

}

Response Example:

{

  "difficultyAdjustment": "increase",

  "narrativePath": "alternative_storyline"

}

Adaptive Learning API

Adjust educational content delivery based on attention and retention levels.

Endpoint:

POST /learning/adaptive

Request Example:

{

  "userStateVector": [0.89, 0.32, 0.55, 0.21],

  "contentContext": "history_lesson"

}

Response Example:

{

  "recommendation": "visual_aids",

  "repeatSegment": true

}

Adaptive Interfaces API

Adjust interface elements in real time based on cognitive load and intent.

Endpoint:

POST /interfaces/adaptive

Request Example:

{

  "userStateVector": [0.34, 0.78, 0.22, 0.59],

  "uiContext": "dashboard_view"

}

Response Example:

{

  "uiAdjustment": "simplify_layout",

  "focusElement": "notifications_panel"

}

AI Assistant Integration API

Enhance assistant interactions by understanding tone, intent, and cognitive load.

Endpoint:

POST /assistant/adaptive

Request Example:

{

  "userStateVector": [0.12, 0.67, 0.31, 0.78],

  "interactionContext": "daily_summary_request"

}

Response Example:

{

  "responseTone": "concise",

  "verbosityLevel": "low"

}

Core Integration API

Access a centralized endpoint to retrieve user state vectors across platforms.

Endpoint:

GET /core/state

Response Example:

{

  "userStateVector": [0.56, 0.41, 0.75, 0.28],

  "timestamp": "2025-05-27T12:00:00Z"

}

Adaptation API

Automatically suggest and integrate emotion-aware decision layers and UX adaptations.

Endpoint:

POST /adaptation/suggest

Request Example:

{

  "userStateVector": [0.45, 0.68, 0.33, 0.22],

  "currentSystemContext": "ecommerce_checkout"

}

Response Example:

{

  "uxSuggestions": [

    "highlight_checkout_button",

    "reduce_visual_clutter"

  ],

  "confidence": 0.91

}

GitHub and Deployment

Our GitHub repository and detailed deployment instructions are under active development.
Stay tuned, as we will soon announce availability on AWS API Gateway and GitHub integration instructions here.

Support and Feedback

For any support requests or feedback, please contact us at:

support@amun-ra.ai

Patent Status

Amun-Ra AI APIs and associated technologies are patent pending, ensuring unique and legally protected innovation.

© 2025 Amun-Ra AI Inc. All rights reserved.