Developer API - Ceuh Rases

Authentication

POST /auth/token OAuth 2.0

curl -X POST "https://api.euhrases.dev/auth/token" \
  -H "Content-Type: application/json" \
  -d '{"client_id":"YOUR_APP_ID","client_secret":"YOUR_SECRET"}'

Returns a JWT token valid for 24 hours with optional scope parameters. Use Authorization: Bearer {{token}} for subsequent requests.

Core APIs

Quantum Simulation API

Run quantum circuit simulations with real-time entanglement tracking and quantum state visualization for up to 100 qubits.

Example Request

curl -X POST "https://api.euhrases.dev/quantum/simulate" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"qubits":4,"circuit":"H 0; CNOT 0 1; MEASURE 0 1"}'

Response

{
  "state_vector": "0.7071+0j 0+0.7071j",
  "probabilities": [0.5, 0.5],
  "execution_time": "5.4ms"
}

Requires: quantum-sim scope Rate limit: 100/s

AI Vision API

Advanced multimodal perception with cognitive reasoning capabilities that simulate human visual and contextual understanding.

Image Analysis

curl -X POST "https://api.euhrases.dev/ai/vision" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: multipart/form-data" \
  -F "image=@/path/to/file.jpg" \
  -F "query='What is the emotional tone of this composition?'"

Example Response

{
  "analysis": {
    "emotional_tone": "Serene",
    "subject_matter": "Abstract landscape",
    "confidence": 0.92
  },
  "processing_time": "12.7ms"
}

Requires: ai-vision scope Rate limit: 50/s

Developer Tools

Quantum SDK

JavaScript SDK for building quantum algorithm simulations with full state visualization and entanglement tracking.

// Simple quantum circuit example const q = new QSimulator(2); q.h(0).cnot(0, 1).measure(); q.on('stateUpdate', (state) => { console.log('Current state:', state); });

Download SDK →

Neural API Toolkit

Python library for building and training neural architectures with built-in ethics verification and model validation tools.

from neural_api import Model model = Model("bert-base") response = model.analyze("This film was amazing!", context="movie_review", tone_analysis=True)

View Docs →

API v2.1.7 Documentation