# QAgent QAgent is an AI agent testing and quality assurance platform for developers and agile teams. It connects to an agent through a webhook or endpoint, runs automated test cases, and evaluates responses for groundedness, policy adherence, prompt compliance, and related quality dimensions. - Findings24: - Сайт: - Цены: Freemium - Категории: ИИ-ассистенты для тестирования, Оценка LLM ## Что такое QAgent? QAgent is an automated testing and quality assurance platform for production AI agents. It connects to an agent endpoint, webhook, or LangChain workflow, then compares live responses with user-defined ground truth and expected-behavior rubrics. The platform is designed to replace ad hoc manual checks with repeatable evaluations for correctness, hallucination risk, prompt adherence, policy constraints, retrieval-augmented generation behavior, escalation decisions, and multi-turn context. It is positioned for solo developers and agile teams shipping AI agents. ## Что умеет QAgent? ### Webhook and endpoint testing Connect an agent through an endpoint, webhook, or LangChain workflow. The homepage states that setup takes about two minutes and does not require an SDK. ### Ground-truth and rubric evaluation Define official rules, documentation, and expected behavior using explicit MUST or MUST NOT requirements, then compare those requirements with the agent's actual response. ### Eight quality dimensions The documented evaluation areas include answer quality, anti-hallucination and factual groundedness, policy adherence, escalation correctness, RAG faithfulness, contextual relevancy, context recall, and multi-turn context memory. ### Adversarial and conversational test cases Run edge cases, adversarial attacks, and multi-turn conversations in parallel to examine behavior beyond simple one-question checks. ### Quality scoring and audit findings Receive deterministic pass/fail ratings, quality scores, evaluator findings, confidence indicators in example reports, and step-by-step failure root causes. ### Prompt regression tracking Track score changes across prompt iterations so teams can identify when a change improves one behavior but causes regressions elsewhere. ## Варианты использования ### Pre-release regression checks A solo developer can run a saved test suite after changing a system prompt and check for regressions before deploying the updated agent. ### Policy and business-rule verification Teams can test requirements such as refund windows, discount restrictions, forbidden topics, or other official boundaries against live agent responses. ### RAG answer validation Teams using retrieval-augmented generation can compare responses with ground-truth documentation and inspect whether retrieved knowledge was used faithfully. ### Guardrail and escalation testing Support or service agents can be tested with adversarial requests and edge cases to verify refusal behavior and determine whether the agent hands difficult cases to a human instead of making unsupported promises. ### Client delivery evidence Builders delivering an AI agent to a client can generate quality audit reports and scorecards documenting checks such as factual groundedness, RAG faithfulness, and policy adherence. ## Часто задаваемые вопросы ### How does QAgent connect to an AI agent? The homepage says users can provide an agent endpoint URL, webhook, or LangChain workflow. It describes approximately two-minute setup and says no SDK is required. ### What does a QAgent test contain? A test can include a user query, ground-truth information, and an expected-behavior rubric. The rubric can specify requirements using MUST or MUST NOT language, which QAgent compares with the live response. ### What results does QAgent provide? The documented workflow provides quality scores, deterministic pass/fail ratings, evaluator findings, and failure root causes. The site also shows audit-style reports with the tested query, expected rubric, agent response, and evaluator conclusion. ### Is QAgent available to try for free? The homepage states that users receive 100 free evaluations per month and do not need a credit card. The available pricing page is a not-found page, so paid-plan prices, billing terms, and cancellation details cannot be confirmed. ## Краткие сведения - **Product category**: AI agent testing and quality assurance platform - **Primary users**: Solo developers and agile teams building AI agents - **Connection method**: Agent endpoint, webhook, or LangChain workflow; no SDK stated - **Evaluation scope**: Eight documented quality dimensions, including groundedness, policy adherence, RAG faithfulness, and multi-turn memory - **Free usage**: 100 free evaluations per month; no credit card stated - **Source domain**: qagent.in