Developer Documentation

Everything you need to integrate FHE into your application

5-Minute Quick Start

Python Example

import obfuscora

# Initialize client
client = obfuscora.Client(api_key="your_api_key")

# Create encrypted context
ctx = client.create_context("credit_risk_assessment")

# Encrypt customer data
encrypted_data = ctx.encrypt({
    "income": 45000,
    "credit_score": 750,
    "debt": 15000
})

# Compute on encrypted data
result = ctx.compute(encrypted_data)

# Decrypt result (only with private key)
risk_score = client.decrypt(result)
print(f"Risk Score: {risk_score}")  # Output: "Low"

Developer Features

Fast Integration

5-minute setup with pre-built templates. No cryptography knowledge needed.

Python SDK

Type-safe Python library with auto-complete and comprehensive inline documentation.

Comprehensive Docs

API reference, guides, code examples, and tutorials for all use cases.

GitHub Integration

SDKs available on GitHub. Contribute to our open-source crypto libraries.

API Reference

POST
/api/v1/encrypt

Encrypt plaintext data

Auth: Bearer token

POST
/api/v1/compute

Execute computation on encrypted data

Auth: Bearer token

POST
/api/v1/decrypt

Decrypt result (with private key)

Auth: Requires private key

GET
/api/v1/status

Check computation status

Auth: Bearer token

Learning Resources

API Documentation

Complete reference for all API endpoints and methods

Code Examples

Real-world examples for credit risk, fraud detection, and AML

GitHub Repository

Open-source SDK and example projects on GitHub

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