Automated agent quality testing
Automates quality testing for AI agents.
Coding / product dossier
QAgent
Tests AI agents for correctness, hallucinations, policy adherence, and RAG quality.
Product brief
What QAgent does.
Automate AI agent quality testing. Score correctness, detect hallucinations against ground truth, verify policy adherence, and benchmark RAG before bad responses reach real customers.
Why we selected it
Agent evaluation is a high-value operational need, and QAgent specifies useful checks for correctness, hallucinations, policy adherence, and RAG performance rather than offering a vague agent wrapper.
- Best for
- AI evaluation
- Category
- Coding
- Daily picks
- 1
- First selected
- 2026-09-19
Product preview saved with our daily selection
Capability scan
What it can help with.
Only capabilities supported by the product information we collected are listed here.
Correctness scoring
Scores the correctness of agent responses.
Ground-truth hallucination detection
Detects hallucinations against ground truth.
Policy-adherence verification
Verifies whether responses adhere to policy.
RAG benchmarking
Benchmarks RAG before responses reach real customers.
Best-fit use cases
Score the correctness of an AI agent's responses.
Check agent outputs for hallucinations against defined ground truth.
Verify whether an agent's responses follow a policy.
Benchmark a RAG system before exposing its responses to customers.
FAQ
Before you open it.
What is QAgent?
QAgent is a product for automating AI-agent quality testing.
How does QAgent evaluate correctness?
It scores correctness as part of its automated testing.
What does QAgent use to detect hallucinations?
It detects hallucinations against ground truth.
Can QAgent check policy adherence?
Yes. Verifying policy adherence is one of its stated checks.
Does QAgent evaluate RAG?
Yes. It is described as benchmarking RAG before bad responses reach real customers.