# 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: - Site: - Preços: Freemium - Categorias: Assistentes de testes com IA, Avaliação de LLMs ## O que é 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. ## O que QAgent pode fazer? ### 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. ## Casos de uso ### 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. ## Perguntas frequentes ### 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. ## Informações rápidas - **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