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Tracked since2026
The Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Quick setup with webhook integration and no SDK required.
Biggest con
Free tier limited to 100 evaluations per month.
TL;DR - QAgent
- Automated QA suite that tests AI agents for hallucinations, prompt regressions, and policy adherence across eight deterministic dimensions.
- Connects to any agent endpoint, LangChain workflow, or webhook in two minutes with no SDK required.
- Provides transparent audit trails with pass/fail ratings and step-by-step failure root causes.
Pricing: Free plan available
Best for: Growing teams
What is QAgent?
QAgent is a continuous evaluation platform for AI agents. It automates testing across eight dimensions, including answer quality, hallucination detection, policy adherence, and RAG faithfulness, by cross-examining every agent response against ground-truth rules and expected behavior rubrics. It uses deterministic LLM-as-a-judge scoring with smart exemptions for dynamic content like ticket IDs and polite greetings, providing pass/fail ratings and root cause analysis. Designed for solo developers and agile teams, it connects via webhook in two minutes with no SDK needed.
Pros & Cons
Pros
- Quick setup with webhook integration and no SDK required.
- Zero false positive penalties for common agent behaviors like greetings or dynamic IDs.
- Comprehensive scoring across multiple quality and safety dimensions.
Cons
- Free tier limited to 100 evaluations per month.
- Learning curve to define ground truth rules and test rubrics initially.
Key Features
Evaluates 8 dimensions: Answer Quality, Anti-Hallucination, Policy Adherence, Escalation Correctness, RAG Faithfulness, Contextual Relevancy, Context Recall, and Context Memory.Defines ground truth rules (pricing, refund windows, knowledge docs) and test rubrics with RFC 2119 expected behavior.Runs adversarial attacks, edge cases, and multi-turn conversations in parallel.Smart exemptions for dynamic ticket IDs, polite greetings, top-chunk focus, and jailbreak attacks to avoid false positives.Generates deterministic pass/fail ratings and step-by-step failure root causes for each test.Transparent audit trail showing user query, expected rubric, agent response, and evaluator findings.
Pricing
Freemium
QAgent offers a generous free tier with optional paid upgrades for advanced features.
Reviews
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QAgent FAQ
How does QAgent improve the testing workflow for teams developing AI agents?
QAgent automates continuous evaluation of AI agents across eight dimensions such as answer quality, hallucination detection, and policy adherence. It cross-examines every agent response against ground-truth rules and expected behavior rubrics, providing pass/fail ratings and root cause analysis. This allows teams to catch regressions quickly without manual testing.
How does QAgent differ from Promptfoo in evaluating AI agents?
Unlike Promptfoo, QAgent provides deterministic LLM-as-a-judge scoring with smart exemptions for dynamic content like ticket IDs and polite greetings. QAgent also connects via webhook in two minutes with no SDK needed, simplifying integration. It scores across eight dimensions including hallucination detection and RAG faithfulness.
What are the main limitations or trade-offs when using QAgent?
The free tier of QAgent is limited to 100 evaluations per month, which may not suffice for high-volume testing. Additionally, there is a learning curve to define ground truth rules and test rubrics initially, requiring upfront effort to set up effective evaluations.
Which teams benefit most from using QAgent for agent testing?
Solo developers and agile teams benefit most from QAgent because it offers quick setup with webhook integration and no SDK required. It is designed to automate testing across multiple quality and safety dimensions without complex infrastructure.
How is QAgent priced for teams that need more than the free tier?
QAgent offers a free tier with 100 evaluations per month, and paid plans are available for teams that require higher usage limits and additional features. The paid plans scale with the number of evaluations and advanced capabilities.
Does QAgent include a zero false positive penalty for common agent behaviors?
Yes, QAgent includes zero false positive penalties for common agent behaviors such as polite greetings and dynamic ticket IDs. This ensures that evaluations do not incorrectly penalize agents for expected, non-harmful outputs.
How quickly can QAgent be integrated into an existing agent workflow?
QAgent connects via webhook in just two minutes with no SDK required, making it easy to integrate into an existing agent workflow. This rapid setup allows teams to start evaluating agents immediately without lengthy installation processes.
Which dimensions does QAgent evaluate when testing an AI agent's responses?
QAgent evaluates AI agent responses across eight dimensions, including answer quality, hallucination detection, policy adherence, and RAG faithfulness. It uses deterministic LLM-as-a-judge scoring with cross-examination against ground-truth rules and expected behavior rubrics.
Source: qagent.in