StoqenX Synthetic Data Platform

StoqenX is a system-aware synthetic data generation platform built for modern engineering teams. It produces realistic, production-like data for APIs, monolithic applications, and real-time streaming systems without exposing sensitive or live data.

Get Started with StoqenX

Core Capabilities

API & Contract-Driven Data

Generate request and response payloads aligned with OpenAPI, Swagger, and schema contracts. Ensure consistent, valid data across all API tests.

Monolithic & Legacy Systems

Create structured and unstructured datasets for large monolithic and legacy systems without touching production databases.

Real-Time & Streaming Data

Produce realistic event streams for Kafka, queues, and pipelines to test real-time workflows at scale.

Code Flow & Knowledge Graphs

Understand and generate data based on code flow analysis and derived knowledge graphs across services.

Types of Synthetic Data

Structured data (JSON, relational, tabular)
Semi-structured data (events, logs, payloads)
Streaming data (Kafka, queues, pipelines)
Dependency-aware datasets across services
Schema-valid, constraint-respecting test data

How StoqenX Works

Analyze schemas, APIs, and code flows
Build a system-aware data model
Generate realistic synthetic datasets
Deliver data via files, APIs, or streams
Integrate into test and CI/CD pipelines

Built for Engineering Teams

Developers

Test features locally and in CI without waiting on real data or shared environments.

QA & Automation Teams

Create deterministic, repeatable test data across environments.

Platform & Data Teams

Generate safe, compliant datasets without exposing sensitive production data.

Build and Test with Confidence

StoqenX helps teams move faster by removing data dependencies and production risk.