Autonomous AI evaluators for chatbots, voice, image, & phone. Catch hallucinations, bias, & more.
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Agent Testing Overview
Agent Testing deploys 15+ autonomous AI evaluators to validate chatbots, voice assistants, and phone agents before and after deployment. Upload your context, auto-generate 60–100 scenarios, and get a production-readiness verdict: Green, Yellow, or Red. Scores across 9 quality metrics, including hallucination, bias, toxicity, completeness, and context awareness. Covers chat, voice, phone inbound, phone outbound, and image agents. Catch failures before your users do.
How to evaluate Agent Testing for software testing workflows
Agent Testing is listed as a freemium software testing AI agent with closed source access. Use this page to compare its core capabilities, practical use cases, pricing model, and alternatives before adding it to your workflow.
A strong first-fit use case is Pre-launch validation: Verify a new chatbot or voice agent is production-ready before go-live with a Green/Yellow/Red verdict., especially if your team is shortlisting software testing tools for a specific operational need.
Best-fit checks before choosing:
- Confirm that freemium pricing matches your expected usage volume.
- Compare Agent Testing with similar software testing AI agents in the alternatives section.
- Validate the key capability: 15+ autonomous AI evaluators run in parallel, each specialized in a distinct quality dimension.
Agent Testing Key Features
15+ autonomous AI evaluators run in parallel, each specialized in a distinct quality dimension
5 agent surfaces: chat, voice, phone inbound, phone outbound, and image
9 quality metrics (30+ for phone): hallucination, bias, toxicity, completeness, context awareness, and more
Auto-generated scenarios: Upload a PRD, doc, or JIRA ticket to create 60–100+ tests instantly
10 persona types: Angry callers, confused customers, international speakers, and more
200+ voice profiles, 50+ accents, 15 noise presets for realistic voice testing
Agent Testing Use Cases
Pre-launch validation: Verify a new chatbot or voice agent is production-ready before go-live with a Green/Yellow/Red verdict.
Regression testing: Confirm nothing broke after a model or prompt update by comparing scores to baseline.
Production monitoring: Upload real call recordings to catch quality drift synthetic tests miss.
Compliance audits: Generate auditable, reproducible evidence for regulatory documentation.
Model comparison: Run identical suites on two variants and pick the better performer on data, not demos.
Quick Facts
CategorySoftware Testing
IndustryHorizontal
AccessClosed Source
Pricing
Freemium
StatusPremium · New
ListedJul 1, 2026
Popularity0%
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