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DataConnect Overview

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Updated July 3rd, 2026
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3.2 min read

GenRocket DataConnect is an API-driven Synthetic Data as a Service (DaaS) platform that delivers deterministic, schema-accurate test data on demand. It produces higher-quality data than LLM-generated alternatives at a fraction of the cost and integrates seamlessly with AI-powered testing, automation, and development platforms. 

DataConnect eliminates dependency on production data, accelerates release cycles, and ensures full regulatory compliance — at any scale. Every value is engineered, not inferred. Every cost is tied to volume, not tokens. There are no seat licenses, no idle costs, scale without tier changes, and model data costs based on your sprint or release activity. Additional information is available on this product page: DataConnect. 

Product Demo

 

Feature Benefits

  • No hallucinations — data is generated deterministically
  • No production data dependency or PII exposure
  • Pay-by-capacity pricing instead of token-based cost escalation
  • Repeatable datasets for regression and automated testing
  • Native support for REST APIs, MCP, CI/CD pipelines, AI agents
  • Enterprise governance – access control, auditability, compliance

Primary Use Cases

DataConnect is versatile and supports a wide variety of use cases, including these common ones: 

  • Unit and Component - Targeted record generation using deterministic datasets for validating individual functions and service components in isolation.
  • API Testing - Request payloads and response validation datasets for fully automated API test suites.
  • CI/CD Pipelines - Synthetic data generation embedded directly into build, test, and deployment workflows.
  • Development Sandboxes - Safe, realistic synthetic data immediately — no tickets, no waiting, no production copies.
  • Regression Testing - Deterministic, consistent datasets for regression suites across all environments.
  • AI / ML Workflows - Governed, PII-free synthetic datasets for AI and ML training, validation, and fine-tuning.

Core Capabilities

  • Rest API and MCP Interface - Connect through standard REST APIs or MCP — accessible to traditional automation frameworks as well as AI agents and LLM toolchains.
  • Generate On Demand - Produce up to 10,000 records per API call across any business domain, such as customers, transactions, or accounts.
  • Domain & Industry Context - Scope data by industry vertical (Banking, Insurance, Healthcare) and business domain for contextually accurate, schema-aligned records.
  • Enforce Business Rules - Apply regex constraints, enumerated value pools, and named generator modules for field-level and cross-field logic.
  • Flexible Output Formats - Return data inline as JSON for automated workflows, or route to CSV and Excel for QA handoffs and dataset archiving.
  • Cross Field Constraint Engine - Enforce complex interdependencies across attributes with intelligent generator logic.

Core Concepts & Hierarchy

DataConnect uses a four-level identity and quota hierarchy: 

  • Organization - Your top-level account. Owns the required Org API Key and the organization-level quota allocation.
  • DataConnect Client - Represents one integrating application. Each client has its own quota sub-allocation and its own set of users. 
  • DataConnect User - A human-centric identity used for individuals. 
  • DataConnect Server User - A machine-centric identity used for servers, batch jobs, and server-to-service integrations.

Quota tiers mirror the hierarchy — Org, Client, User, and Server User — and every request is
checked against all applicable tiers.

Integration Methods

DataConnect offers two integration (connection) methods, as shown in the image and table below: 

Path Best for Endpoint
REST API CI/CD pipelines, test automation, backend services https://dataconnect.genrocket.com
MCP Server Best for AI agents & LLM tooling (Claude, MCP clients) https://dataconnect-mcp.genrocket.com/mcp

Note: Both paths share the same credentials and the same JWT authentication. All endpoints are served over HTTPS.

Prerequisite Steps

The following actions must be completed by GenRocket during onboarding before DataConnect can be set up and used for on-demand data. These steps cannot be configured by your organization first. 
  1. DataConnect must be enabled for your organization. A GenRocket administrator first enables the feature, and then the DataConnect Management menu item appears for Org Admins. 
  2. Your organization-level quota is provisioned. The Organization quota is tied to your commercial DataConnect package. GenRocket creates this top-level allocation as part of your plan, and you then sub-allocate it across clients and users.
  3. Your Organization External ID ( orgExternalId ) is provided by GenRocket during onboarding.

Org Admin Setup Steps

An Org Admin will need to perform these additional setup tasks after the prerequisites above are complete.

  1. Log into the GenRocket Web Platform as an Org Admin.
  2. Open the Org User drop-down menu (top right) and select DataConnect Management.
  3. Generate the Organization API Key, or rotate the existing key if one is already present.
  4. Create a DataConnect Client to generate the clientExternalId (UUID) for API calls.
  5. Create DataConnect Users or Server Users to generate userExternalIds for API calls.
  6. Create a User or Server User Quote to allocate the user’s share of the client's quota.

What Information is Needed for an API Call?

Before calling the API, gather the values in the table below for the API call. 

  • GenRocket provides the orgExternalId
  • All others are created during the setup steps discuss in the previous section of this article. 
Value Where to Get It
orgExternalId Provided by GenRocket during onboarding.
orgApiKey DataConnect Management - Organization API Key panel
clientExternalId DataConnect Client's table - Client Id column
userExternalId  User Id (or Server Id) column

How to Make an API Call

  1. Use the correct API endpoint. All endpoints require HTTPS.
  2. Ensure you have the necessary API Key and External IDs as referenced above.
  3. Log in via an API call to obtain a JSON Web Token (JWT).
  4. Make an API call to generate data using the JWT (valid for 60 minutes).

Additional Reading

Topic Description
DataConnect - Admin Setup (Clients, Users, and Quotas)  Learn what steps an Organization Admin must take in order to set up DataConnect clients, users, and quotas for test data generation via the API.
DataConnect API Guide  See the full API guide with API request information, MCP Server integration details, and possible error codes. 
DataConnect API - Glossary & Quick Reference Guide  See a quick reference guide containing glossary terms, endpoints, and quota statuses.