Seamlessly integrate synthetic data generation into your applications, pipelines, and workflows with our enterprise-grade REST APIs and SDKs.
Robust, scalable, and developer-friendly APIs designed for production environments
Industry-standard REST APIs with JSON responses, comprehensive documentation, and intuitive endpoint structure for rapid integration.
Generate synthetic data on-demand with sub-second response times. Stream large datasets directly to your applications without storage overhead.
OAuth 2.0, API keys, and JWT tokens with rate limiting, IP whitelisting, and comprehensive audit logging for enterprise security.
Generate millions of records efficiently with asynchronous batch jobs, progress tracking, and automated delivery to your storage systems.
Flexible configuration APIs for data schemas, generation parameters, privacy settings, and output formats with version control.
Low-latency access worldwide with edge computing nodes, automatic failover, and 99.99% uptime SLA for mission-critical applications.
Choose from multiple integration approaches tailored to your development workflow
Purpose-built libraries for popular programming languages with idiomatic APIs, type safety, and comprehensive error handling.
Pre-built connectors and plugins for popular data platforms, ML frameworks, and cloud services.
Real-time notifications and event-driven architectures with support for popular streaming platforms.
Powerful CLI tools for DevOps teams, CI/CD pipelines, and automated workflows with scripting support.
Get started with just a few lines of code
import singularsity
# Initialize client
client = singularsity.Client(api_key="your-api-key")
# Define data schema
schema = {
"fields": [
{"name": "customer_id", "type": "uuid"},
{"name": "email", "type": "email"},
{"name": "age", "type": "integer", "min": 18, "max": 80},
{"name": "purchase_amount", "type": "float", "min": 10.0, "max": 1000.0}
],
"constraints": [
{"type": "unique", "fields": ["customer_id", "email"]}
]
}
# Generate synthetic data
result = client.generate(
schema=schema,
num_records=10000,
privacy_level="high",
format="csv"
)
# Save to file or use directly
result.save("synthetic_customers.csv")
print(f"Generated {result.count} records")Enterprise-grade performance and reliability you can count on
Average API response time for real-time data generation requests
API uptime with automatic failover and global redundancy
Requests per second capacity with automatic scaling infrastructure
Start building with our APIs in minutes. Comprehensive documentation, SDKs, and developer support included.