Crud Expert

AI-Powered, No-Code API Testing

Create Test Cases, Automate Complex API Flows, and Validate Responses with Less Manual Effort.

Turn API requirements into repeatable tests with CRUD Expert. Generate test cases across multiple datasets, receive AI-assisted assertion suggestions, and build API automation workflows without writing scripts.

Smarter API Testing, From Individual Requests to Complete Workflows

CRUD Expert is an AI-powered, no-code API testing platform from DragonFlyTest that helps teams create, execute, and manage API tests. It brings test cases, datasets, assertions, and results into one workspace, helping teams move from manual API checks to repeatable automation.

Whether you are validating an individual endpoint or testing a connected business process, CRUD Expert helps you organise coverage, identify failures, and understand results.

Accelerate Test Creation

Generate API test cases with AI assistance and review them against your requirements.

Test with Multiple Datasets

Validate API behaviour across different inputs, including positive, negative, and boundary scenarios.

Simplify Response Validation

Use AI-assisted suggestions to configure assertions and variables at the response and schema levels.

Automate Complex API Flows

Connect API requests into reusable workflows to validate complete business scenarios without scripting.

Our Approach

01.Understand Your API Requirements

Identify the APIs, business flows, validation rules, and datasets that matter to your application.

02.Organise Your Testing Workspace

Set up projects and collections to structure API requests and keep related scenarios together.

03.Generate and Review Test Cases

Use AI assistance to create test cases, then review coverage and expected outcomes with your team.

04.Configure Data and Validations

Add datasets, review suggested assertions, and configure variables for connected requests.

05.Execute API Workflows

Run individual tests or complete workflows to validate API behaviour across your selected scenarios.

06.Review and Refine

Investigate failures, update tests as requirements change, and reuse your test coverage for future releases.

Built for Everyday API Testing

Functional API Testing

Verify that endpoints return the expected responses for defined requests and business rules.

API Regression Testing

Rerun existing tests after application changes to identify unexpected behaviour.

End-to-End Workflow Testing

Validate connected API calls across complete business processes.                         

Negative and Boundary Testing

Check how APIs handle invalid values, missing inputs, and boundary conditions.

Response Schema Testing

Validate response structure and data types against configured expectations.             

Data-Driven Scenario Testing

Expand coverage by executing reusable tests with different input combinations.

Agentic AI for API Automation

The CRUD Expert AI Agent helps teams simplify API testing by generating test cases, suggesting response and schema assertions, and identifying reusable variables with less manual effort. It supports testing across multiple datasets and building connected API workflows without scripting, helping teams validate complex business scenarios more efficiently. **AI-assisted dataset creation** helps generate varied inputs for positive, negative, and boundary scenarios. **Reusable functions** support dynamic test data, value transformations, and common operations across API workflows. With AI-assisted recommendations and team review, CRUD Expert helps you expand test coverage, reduce repetitive work, and maintain reusable API tests as your application evolves.

Face Recognition
Face Recognition

Swagger Import with Automated Test Setup

CRUD Expert’s Swagger Import transforms your Swagger/OpenAPI specification into a structured testing workspace, generating test data, assertions, and environment configurations to reduce manual setup. Import your API definitions to organise endpoints, HTTP methods, parameters, and request structures without recreating each request. AI-assisted test data generation helps prepare varied inputs, while generated assertions support response and schema validation. Environment configurations provide a starting point for managing connection settings and environment-specific values. Your team can review and refine the generated data, validations, and settings before execution, then connect imported APIs into reusable workflows. CRUD Expert helps you move from API documentation to executable tests faster, with consistent setup and less repetitive work.

Codeless Data-Driven Testing

CRUD Expert’s codeless data-driven testing makes it easy to create and manage multiple datasets without writing scripts. Enter test data manually or use suggestions based on your request body and path parameters to prepare inputs relevant to each API. AI-assisted suggestions help generate varied data for positive, negative, and boundary scenarios, while schema-based suggestions use defined field structures, data types, and constraints to guide dataset creation. Review, edit, and reuse these datasets across API requests and connected workflows, running the same tests with different input combinations. By simplifying data preparation and reducing repetitive entry, CRUD Expert helps teams expand coverage and validate API behaviour more efficiently.

Face Recognition
Face Recognition

Rule Builder for API Execution Flows

CRUD Expert’s Codeless Rule Builder helps teams define and control API test execution flows without writing scripts. Configure conditions that determine which API test runs next, allowing workflows to follow different paths based on response values, test data, or previous execution results. Build conditional logic to connect dependent requests and reflect the decisions within your business processes. For example, proceed to the next API when a response meets your criteria or follow an alternative path when it does not. By making execution rules easier to configure, review, and update, CRUD Expert helps teams automate complex API scenarios, reduce manual intervention, and maintain reusable workflows as requirements evolve.

Assertions with Rule Builder

CRUD Expert’s Codeless Assertion Rule Builder helps teams define the validation rules that determine whether an API test passes or fails, without writing scripts. Select the response fields to validate, choose comparison operators, and set expected values through an easy-to-use interface. Configure assertions to check API responses against your business requirements, with AI-assisted suggestions helping reduce manual setup. During execution, CRUD Expert evaluates the actual response against your configured rules and presents the validation outcomes, helping teams identify mismatches and investigate failures. By making assertions easier to create, review, and reuse, CRUD Expert supports consistent API validation across multiple datasets and connected testing workflows.

Face Recognition
Face Recognition

Environment and Variable Management

CRUD Expert’s codeless environment and variable management helps teams configure API tests across Dev, Test, Staging, and Prod without repeatedly editing individual requests. Define variables at the request, subcollection, collection, environment, and project levels to keep values organised and reusable within the appropriate scope. Use these variables in API requests, datasets, and assertion rules to support dynamic testing across different configurations. For values that should remain on your machine, local .env support lets you use locally stored variables without saving them in the cloud. By separating test logic from configuration values, CRUD Expert reduces repetitive setup and makes API workflows easier to maintain across environments.

Test Plans for Organised Execution and Historical Results

CRUD Expert’s Test Plan management helps teams group selected API collections into reusable execution plans for specific features, business workflows, or release cycles. Choose which collections to execute and run the plan across Dev, Test, Staging, and Prod using the relevant environment configurations and variables. Create dedicated plans for smoke testing, regression testing, or end-to-end validation, bringing your existing datasets and assertions into a consistent testing process. Historical test results let teams revisit previous runs, review pass/fail outcomes, and investigate assertion failures to understand changes across executions. By combining collection selection, environment-based execution, and result history, CRUD Expert makes API testing easier to organise, repeat, and track as your application evolves.

Face Recognition

Why CRUD Expert?

Less Scripting, More Testing

Help teams focus on test coverage and validation through a no-code approach to API automation.

AI Assistance with Team Review

Speed up test preparation with AI-generated suggestions while keeping your team in control of the final tests and assertions.

Coverage Beyond Individual Endpoints

Evaluate recognition under representative site conditions and refine settings to address false matches, missed matches, and uncertain results.

Reusable Tests and Datasets

Reduce repeated setup by organising tests, variables, and datasets for ongoing use.

Clearer Failure Investigation

Bring execution results and validation outcomes together to help teams locate and investigate issues.

Support from DragonFlyTest

Work with DragonFlyTest to explore your use cases, configure a pilot, and introduce CRUD Expert into your API testing process.