
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Openlayer records 48,415 monthly visits with -6.4% month-over-month growth and Freemium, Contact for Pricing pricing. Roark records 9,226 monthly visits with +23.1% growth and Paid pricing.

Test, monitor and improve the voice AI agents you already run
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | openlayer.com | roark.ai |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 48.42K (48,415) | 9.23K (9,226) |
| MoM Traffic Delta | -3.3K (-6.4%) | +1.73K (+23.1%) |
| Primary Market & Share | 🇺🇸 United States (44.1%) | 🇺🇸 United States (75.7%) |
| Direct Visits / mo | 25.94K | 4.83K |
| User Rating | 4.4 | 4.4 |
| Supported Platforms | Website | Website |
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.

Test, monitor and improve the voice AI agents you already run
Run your agent against hundreds of realistic personas, accents, background noise and edge cases before a customer ever dials in.
Red-team callers attempt prompt injection, jailbreaks and social engineering to check your agent holds policy under pressure.
Every live call is scored as it lands on more than 500 metrics, with issues filed, alerts fired and traces attached.
Purpose-built audio models measure pronunciation, emotion, vocal stress, pace, interruptions and dead air, not just transcript quality.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

SpecialistAttack-led AI security testing and red teaming
SpecialistAttack-led AI security testing and red teaming

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams

Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org

Automated QA, simulation and observability for voice and chat AI agents

SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models

Free / Open-sourceFind and fix problems in your AI agents before users do
Free / Open-sourceFind and fix problems in your AI agents before users do
Full-stack observability with an AI SRE agent that fixes issues
Full-stack observability with an AI SRE agent that fixes issues

Enterprise AI governance platform for agents, models, and vendors

Free / Open-sourceThe security layer for voice and chat agents: test, red-team, and monitor every call
Free / Open-sourceThe security layer for voice and chat agents: test, red-team, and monitor every call