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QAgent Review

QAgent is an automated QA suite for solo developers that connects agents via webhook, runs automated test cases, and verifies AI responses across various dimensions.

shipped Sep 17, 2026freemium
QAgent — product screenshot

Why it matters

1Offers 100 free evaluations per month without a credit card.
2Connects AI agents via webhook or API endpoint in under 2 minutes.
3Runs 50+ automated test cases for AI response verification.
4Evaluates AI agents across 8 critical dimensions including Answer Quality and RAG Faithfulness.

About QAgent

Business Model
Subscription SaaS
Usage Pricing
$0 (100 evaluations) / $29 (1,500 evaluations) per test-case evaluations
Free Credits
100 free evaluations / month
Target Audience
Solo developers and small teams

Pricing Plans

Free
$0 / monthly
  • • 100 test-case evaluations / month
  • • 1 connected AI agent endpoint
  • • Ground Truth & policy adherence rubric
  • • RAG hallucination & groundedness detection
Solo
$29/month
  • • 1,500 test-case evaluations / month
  • • Up to 5 connected AI agents
  • • Automated LLM-as-a-Judge scoring engine
  • • Continuous score delta & prompt regression tracking

Cost Examples

  • • Evaluate 1 agent: $29/month for 1,500 evaluations

Specs

API Available

Yes, public API

overview

What is QAgent?

QAgent is an automated Quality Assurance (QA) and regression testing platform developed by Abhiram Reddy.K that enables solo developers and agile teams to stress-test their AI agents before deployment. It addresses the challenge of silently breaking AI agent functionalities when system prompts or configurations are tweaked, providing a robust testing pipeline beyond simple playground testing.

features

Key Features of QAgent

QAgent provides a comprehensive set of features designed for automated QA and regression testing of AI agents, focusing on ease of setup and detailed evaluation metrics.

  • Automated quality testing for AI agents.
  • Hallucination detection in AI responses.
  • Prompt evaluation to identify regressions.
  • Continuous evaluation for ongoing performance monitoring.
  • Deterministic scoring for consistent test results.
  • Connects agents via webhook or API endpoint in under 2 minutes.
  • Runs 50+ automated test cases.
  • Verifies AI responses across 8 dimensions: Answer Quality, Factual Groundedness, Policy Adherence, Escalation Correctness, RAG Faithfulness, Contextual Relevancy, Context Recall, and Multi-turn Context Memory.
  • Automated parallel test runs with visual pass/fail scorecards.
  • Root-cause failure breakdowns for identified issues.

use cases

Who Should Use QAgent?

QAgent is primarily designed for developers and teams focused on building and maintaining AI agents, particularly those who need to ensure the reliability and performance of their AI applications.

  • Solo developers needing a zero-bloat automated QA suite for AI agents.
  • Agile teams requiring automated regression testing for AI agent prompt changes.
  • Businesses developing AI products that need pre-deployment validation and continuous evaluation.
  • Customer support agents leveraging AI capabilities for real-time assistance (in the context of Amazon Connect integrations, though qagent.in focuses on QA).

how to use

How to Use QAgent

QAgent simplifies the process of testing AI agents by offering a no-code setup and automated evaluation. Users can quickly integrate their agents and begin testing.

  • 1Connect your AI agent via webhook or API endpoint.
  • 2Configure automated test cases for your agent's functionalities.
  • 3Initiate parallel test runs to evaluate performance.
  • 4Review visual pass/fail scorecards and root-cause failure breakdowns.
  • 5Utilize the 8-dimension evaluation to verify AI responses across critical metrics.

pricing

QAgent Pricing & Plans

QAgent operates on a freemium model, offering a free tier for initial evaluations and a paid plan for increased usage and features. The free tier allows users to stress-test their agents without immediate financial commitment.

  • Free: $0 per month, includes 100 free evaluations.
  • Solo: $29 per month, includes 1,500 evaluations.

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Pros

  • +Zero-bloat automated QA suite for AI agents.
  • +Connects agents via webhook or API in under 2 minutes, requiring no SDK boilerplate.
  • +Runs 50+ automated test cases without requiring custom Python test scripts.
  • +Verifies AI responses across 8 critical dimensions, including Factual Groundedness and Multi-turn Context Memory.
  • +Offers a free tier with 100 evaluations per month, allowing for initial stress-testing.

Cons

  • −Specific rate limits beyond the 100 free evaluations per month are not publicly detailed.
  • −The platform's long-term scalability and enterprise-level features are not extensively documented.
  • −Primarily focused on AI agent testing, which may not cover broader end-to-end software testing needs.
  • −Relatively new to the market, having launched on Product Hunt in September 2026, with limited long-term user reviews.

Similar Tools

QAgent vs Competitors

QAgent distinguishes itself in the AI agent testing landscape by focusing on a no-code, rapid setup approach for evaluating AI responses across specific dimensions, contrasting with more code-centric or general-purpose testing frameworks.

1
DeepEval↗

An open-source LLM evaluation framework with native Pytest integration, offering 50+ research-backed metrics for AI response verification, including hallucination, relevance, and bias.

DeepEval directly provides specialized metrics for evaluating AI responses, which QAgent also emphasizes. However, it's a code-based framework requiring Python knowledge and doesn't offer a UI or collaboration features like QAgent might.

2

A robust, open-source framework for end-to-end and API testing across modern web browsers, allowing direct HTTP requests and response validation.

Playwright offers broad test automation capabilities for web and API, similar to QAgent's general test cases. It requires coding in JavaScript/TypeScript/Python/C# and custom implementation for AI-specific verification, whereas QAgent provides a more opinionated, potentially lower-code approach for AI response checks.

3
Pytest (with `requests`)↗

A popular and highly flexible Python testing framework that, when combined with the `requests` library, excels at writing simple, maintainable, and comprehensive API tests.

Pytest provides a powerful, code-centric approach to API testing, offering similar automation to QAgent's test cases but requiring Python development skills. It lacks QAgent's specialized, built-in AI response verification dimensions, which would need to be custom-coded.

4

A widely used API platform offering a GUI for API development, testing, and monitoring, with a free tier for individual developers.

Postman provides a more visual and less code-heavy approach to API testing than code-based frameworks, similar to QAgent's ease of use for general test cases. While its free tier includes some AI credits, QAgent focuses more explicitly on automated, multi-dimensional AI response verification as a core feature.

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