Automated API Testing Tool If you can do a partial part of it, that is also fine. please quote
Budget: ₹1,500 – ₹12,500 INR
Automated API Testing Tool - If you can do a partial part of it, that is also fine. please quote
Create a web interface where users can upload API request URLs individually or in bulk (e.g., via CSV/JSON).
Allow users to enter parameters, headers, payloads, and authentication details for each API.
Automatically generate test cases for each API, including positive, negative, and boundary tests.
Use AI to generate realistic data for testing each endpoint.
Run tests asynchronously, supporting parallel execution for multiple APIs.
Use machine learning to detect changes in API schemas and automatically update test cases (self-healing).
Provide detailed test results in HTML/PDF, showing pass/fail status and response metrics.
Apply AI to identify patterns in test outcomes, such as unusual error rates or response times.
Allow test scripts to be exported to a GitHub repository for use in CI/CD pipelines.
Automatically commit new or updated test scripts to GitHub for version control.
Optional features:
Schedule test runs at specific intervals.
Send email notifications with summary test results.
The project should develop custom AI algorithms for generating realistic data for testing.
Create a web interface where users can upload API request URLs individually or in bulk (e.g., via CSV/JSON).
Allow users to enter parameters, headers, payloads, and authentication details for each API.
Automatically generate test cases for each API, including positive, negative, and boundary tests.
Use AI to generate realistic data for testing each endpoint.
Run tests asynchronously, supporting parallel execution for multiple APIs.
Use machine learning to detect changes in API schemas and automatically update test cases (self-healing).
Provide detailed test results in HTML/PDF, showing pass/fail status and response metrics.
Apply AI to identify patterns in test outcomes, such as unusual error rates or response times.
Allow test scripts to be exported to a GitHub repository for use in CI/CD pipelines.
Automatically commit new or updated test scripts to GitHub for version control.
Optional features:
Schedule test runs at specific intervals.
Send email notifications with summary test results.
The project should develop custom AI algorithms for generating realistic data for testing.
Related categories:
Python
Software Architecture
Machine Learning (ML)
Natural Language Processing
Generative AI