v1.0 API Stable

Build with FHE in Minutes

Simple REST API. Python SDK. 5-minute integration. No cryptography expertise required.

5-Minute Quick Start

1

Install Python SDK

Install Python SDK

# Install via pip
pip install obfuscora-sdk

# Or use requirements.txt
echo "obfuscora-sdk>=1.0.0" >> requirements.txt
pip install -r requirements.txt
2

Initialize Client

Initialize Client

from obfuscora import ObfuscoraClient

# Initialize with API key
client = ObfuscoraClient(
    api_key="your_api_key_here"
)
3

Run FHE Analysis

Run FHE Analysis

# Upload CSV and run credit risk assessment
job = client.templates.credit_risk.execute(
    file_path="customers.csv",
    column_mapping={
        "income": "annual_income",
        "credit_score": "fico_score",
        "debt": "total_debt"
    }
)

# Wait for results
results = job.wait()
print(results.risk_distribution)
4

Get Results

Get Results

# Output:
{
    "low_risk": 540,
    "medium_risk": 360,
    "high_risk": 100,
    "total_processed": 1000,
    "processing_time_ms": 2400
}

# Download full results CSV
results.download("results.csv")

Developer-Friendly Features

Fast Integration

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

Python SDK

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

Comprehensive Docs

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

Core API Endpoints

POST/templates/{template_id}/execute

Execute a FHE template on your data

GET/jobs/{job_id}

Check the status of your job

GET/jobs/{job_id}/results

Download encrypted or decrypted results

GET/templates

List all available FHE templates

Ready to Build with FHE?

Get your API key and start building privacy-preserving analytics today.