Test your agent
before users find the cracks.
Run synthetic conversations and adversarial attacks to uncover tool failures, safety gaps, and broken workflows before launch or after every update.
Run synthetic conversations and adversarial attacks to uncover tool failures, safety gaps, and broken workflows before launch or after every update.
Staging often looks fine. Failures show up later in edge cases, tool calls, and multi-step flows that manual QA rarely covers.
APIs change, parameters drift, edge cases return errors. Your agent covers with a hallucinated response instead of flagging the failure.
The agent loops, asks unnecessary clarifications, or declares success without finishing the task. No error code, no alert.
Jailbreaks, prompt injections, and social engineering bypass safety layers. Commercial models won't generate these attacks. Ours does.
Validate workflows with synthetic users, then attack your agent with our custom unfiltered model.
Generate diverse synthetic users and run your agent through real-world workflows at scale.
Our custom unfiltered model generates attacks commercial models refuse to create — real attack vectors, not sanitized simulations.
Describe what your agent should do. QualiLoop handles the rest.
Describe the scenario in plain English. Set a goal, choose a mode, add custom checks.
Terse, verbose, confused, adversarial — each approaching your task differently to maximize coverage.
10 to 1,000 concurrent conversations. Every tool call and decision is captured with full trace data.
Results grouped by type: tool failures, guardrail breaches, goal failures, custom check violations.
Designed for how modern AI agents actually break, across prompts, tools, retrieved context, and multi-step execution.
Write domain rules in plain English. "Never mention competitor products." "Prices must match the database." Evaluated on every turn.
Define a test once, run it daily or weekly. Catches regressions from prompt changes, model swaps, or API updates silently.
Every API call, parameter payload, and response captured end-to-end. See exactly where integrations break and why.
Connect via Langfuse, LangSmith, Weights & Biases, or any OpenTelemetry provider. Or use QualiLoop directly.
Failures grouped by type and pattern. Identify systemic issues vs. one-off edge cases at a glance.
Flag sessions for manual review. Track recurring issues over time across test runs and model versions.
All plans include a 14-day trial. No credit card required to start.
Any agent that accepts user messages and responds — tool-calling agents, RAG pipelines, multi-agent systems, chatbots. If it has an HTTP endpoint, QualiLoop can test it.
Commercial models refuse to generate jailbreak prompts, prompt injections, or social engineering attacks. Our custom unfiltered model has no such restrictions — it generates the adversarial inputs that actual bad actors would use.
No. Describe what you want to test in plain English, set a goal, and QualiLoop generates the scenarios automatically. You can optionally add scripted steps for precise multi-step workflows.
Yes — that's a core strength. We test end-to-end including all tool calls (APIs, databases, Slack, Linear, etc). Every call and response is captured, so you see exactly where integrations break.
All data is encrypted in transit and at rest. Enterprise plans include VPC deployment and SAML SSO. We never train on your data or share it with third parties.
Book a live demo and see how QualiLoop surfaces broken flows, unsafe behavior, and missed goals in your agent.