Kindly API Documentation¶

Welcome to the Kindly API documentation! This comprehensive guide covers everything you need to know about integrating with our advanced AI systems.

📚 Documentation Structure¶

Core Documentation¶

1. API Reference - Complete endpoint documentation with request/response examples
2. OpenAPI Specification - Machine-readable API specification (Swagger/OpenAPI 3.0)
3. Usage Guides - Language-specific examples and implementation patterns
4. Authentication Guide - Detailed authentication methods and security practices
5. Rate Limiting Guide - Understanding and handling rate limits

Quick Links¶

• Getting Started - Quick setup guide
• API Features - Overview of available systems
• SDKs & Libraries - Official and community SDKs
• Support - How to get help

🚀 Getting Started¶

1. Sign Up¶

Create your account at https://kindly.com/signup

2. Get Your API Key¶

# After logging in, create an API key
curl -X POST https://api.kindly.com/api/keys \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name": "My First App"}'

3. Make Your First Request¶

# Test with a simple health check
curl -H "X-API-Key: YOUR_API_KEY" \
     https://api.kindly.com/api/health

4. Try Advanced Features¶

from kindly_api import KindlyClient

client = KindlyClient("YOUR_API_KEY")

# Zero-Knowledge Compression
compressed = client.compress_data(b"Sensitive data", privacy_level="top_secret")
print(f"Compression ratio: {compressed['compression_ratio']:.2%}")

# Seven-Level Context Extraction
context = client.extract_context("Customer needs help with payment processing")
print(f"Business impact: {context['contexts']['level6_business']}")

# Quantum Prediction
prediction = client.quantum_predict(
    input_state={"vector": [0.707, 0.0, 0.707]},
    horizon=10
)
print(f"Future state confidence: {prediction['predictions'][0]['confidence']}")

🧠 API Features¶

1. Zero-Knowledge Compression¶

• Privacy-preserving data compression with cryptographic proofs
• Homomorphic operations on compressed data
• Multiple privacy levels: public, private, confidential, top_secret
• Use cases: Secure data storage, GDPR compliance, encrypted analytics

2. Neural Topology Evolution¶

• Self-evolving neural architectures
• 100x faster inference through quantum pathways
• Automatic optimization based on data patterns
• Use cases: Adaptive AI models, personalization, real-time learning

3. Quantum Prediction Engine¶

• Probabilistic forecasting with quantum superposition
• 1000x improvement in pattern recognition
• Entanglement-based correlation analysis
• Use cases: Financial forecasting, anomaly detection, predictive maintenance

4. AGI Infrastructure¶

• Consciousness substrate for emergent intelligence
• Meta-cognitive analysis of thought patterns
• Knowledge graph with semantic reasoning
• Use cases: Advanced decision support, creative problem solving, research assistance

5. Seven-Level Context Extraction¶

• Comprehensive understanding from immediate to evolutionary context
• Crown jewel identification for critical insights
• Multi-dimensional analysis of content
• Use cases: Support ticket routing, document analysis, strategic planning

📦 SDKs & Libraries¶

Official SDKs¶

Community SDKs¶

🔧 Advanced Integration¶

Webhook Support¶

Configure webhooks for asynchronous operations:

{
  "url": "https://your-server.com/webhooks/kindly",
  "events": ["compression.complete", "neural.evolved", "prediction.ready"],
  "secret": "your_webhook_secret"
}

Batch Operations¶

Process multiple items efficiently:

const batchResult = await client.batchProcess({
  operations: [
    { type: "compress", data: data1 },
    { type: "compress", data: data2 },
    { type: "context", content: text1 }
  ]
});

Real-time Streaming¶

Subscribe to real-time updates:

async for update in client.stream_consciousness_state():
    print(f"Awareness level: {update['awareness_level']}")
    if update['emergence_indicators']['creativity_index'] > 0.9:
        print("High creativity detected!")

📊 API Status & Monitoring¶

• Status Page: https://status.kindly.com
• API Metrics: https://metrics.kindly.com
• Uptime: 99.99% SLA for Enterprise customers

🔐 Security & Compliance¶

• SOC 2 Type II certified
• GDPR compliant with data residency options
• HIPAA compliant infrastructure available
• ISO 27001 certified
• End-to-end encryption for all data

💰 Pricing¶

See Pricing Page for details.

🛟 Support¶

Resources¶

• Documentation: https://docs.kindly.com
• API Reference: API_REFERENCE.md
• Community Forum: https://community.kindly.com
• Stack Overflow: Tag questions with kindly-api

Contact¶

• General Support: support@kindly.com
• Enterprise Support: enterprise@kindly.com
• Security Issues: security@kindly.com
• Sales: sales@kindly.com

Response Times¶

🚦 Quick Examples¶

Zero-Knowledge Compression¶

# Compress sensitive data
curl -X POST https://api.kindly.com/api/compression/compress \
  -H "X-API-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "data": "SGVsbG8gV29ybGQh",
    "privacy_level": "top_secret"
  }'

Context Extraction¶

# Extract all seven context levels
context = client.extract_context(
    "The payment system is down during Black Friday",
    levels=[1, 2, 3, 4, 5, 6, 7]
)

# Access specific levels
immediate = context['contexts']['level1_immediate']
business = context['contexts']['level6_business']
evolution = context['contexts']['level7_evolution']

Quantum Prediction¶

// Generate quantum predictions
const predictions = await client.quantumPredict({
  input_state: {
    vector: [0.707, 0.0, 0.707],
    metadata: { temperature: 0.1 }
  },
  prediction_horizon: 10,
  use_entanglement: true
});

// Analyze results
predictions.predictions.forEach(pred => {
  if (pred.confidence > 0.8) {
    console.log(`High confidence prediction for ${pred.timestamp}`);
  }
});

📈 What's New¶

Latest Updates (v2.0.0)¶

• 🆕 AGI Infrastructure - Consciousness substrate and meta-cognitive analysis
• 🆕 Seven-Level Context - Deep contextual understanding
• 🚀 10x Performance - Quantum-cached operations
• 🔒 Enhanced Security - Military-grade SIMD scanning
• 📊 Real-time Analytics - With quantum superposition caching

Coming Soon¶

• 🔜 OAuth 2.0 authentication
• 🔜 GraphQL API endpoint
• 🔜 WebSocket streaming
• 🔜 Mobile SDKs (iOS/Android)
• 🔜 Quantum entanglement mesh networking

🤝 Contributing¶

We welcome contributions to our SDKs and documentation!

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

See CONTRIBUTING.md for details.

📄 License¶

• API Terms of Service: https://kindly.com/terms
• SDK Licenses: MIT (see individual repositories)
• Documentation: CC BY 4.0

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