Test ElevenLabs voice agents with end-to-end QA and evaluation. Measure voice quality, latency, interruption handling, tool calls, and real-time performance across production scenarios.
Voice agents built on ElevenLabs need more than a basic prompt check. You need to test whether the voice stays clear, whether interruptions break the workflow, whether latency remains usable, whether tool calls succeed, and whether the same agent holds up under real traffic. Cekura is built for testing ElevenLabs voice agents end-to-end. It connects natively with ElevenLabs, supports direct WebSocket simulations for ElevenLabs voice conversations, can auto-trigger outbound tests for ElevenLabs users, and links ElevenLabs accounts to expose conversation IDs and tool-call timestamps for evaluator test calls.
Cekura is designed for teams looking to test ElevenLabs voice agents, run ElevenLabs voice agent QA, and evaluate ElevenLabs-powered voice AI systems across real conversational conditions. Unlike generic voice testing setups or text-based evaluators, Cekura is built specifically for testing real-time ElevenLabs voice agents under live conversational conditions.
When testing ElevenLabs voice agents, the first question is whether the spoken output actually works in real conversations, not just whether the transcript looks correct. Cekura evaluates ElevenLabs voice output using built-in speech metrics such as:
Cekura's Voice Quality Index (scored 0–5) measures clarity, tone, and appropriateness, making it useful for testing pacing, pronunciation stability, and whether ElevenLabs voices remain usable across longer calls. This is especially important for ElevenLabs deployments using custom or cloned voices. In Cekura, teams can configure Voice ID and Voice Provider, allowing them to test how a specific ElevenLabs voice behaves across different scenarios while keeping generation inside ElevenLabs.
Testing ElevenLabs voice agents requires catching issues that only show up in real-time conversations, not in text-only simulations. Cekura focuses on failure modes specific to voice AI powered by ElevenLabs:
Built-in metrics include:
Cekura includes 25+ predefined metrics such as Tool Call Success, Voice Quality, Pronunciation Check, and Unnecessary Repetition - enabling comprehensive voice agent QA for ElevenLabs deployments.
Cekura's personality system (50+ predefined personalities) enables testing edge cases like:
This ensures ElevenLabs voice agents remain reliable under unpredictable real-world conditions.
For ElevenLabs-powered systems, testing must reflect real communication paths, not simplified environments.
Cekura supports end-to-end testing through:
This allows teams to:
When evaluating ElevenLabs voice agents, performance depends not just on TTS, but on transcription, language understanding, and robustness to real-world audio.
Cekura enables voice AI evaluation across:
Through integrations such as Speechmatics, Azure, Gemini, and Deepgram, teams can A/B test STT providers within the same evaluation layer. This ensures ElevenLabs-powered systems behave reliably across global, real-world voice conditions, not just clean English inputs.
A production-ready ElevenLabs voice agent must do more than sound natural: it must complete tasks correctly.
Cekura validates workflow execution through:
Capabilities include:
This allows teams to test ElevenLabs voice agents that schedule appointments, retrieve data, and trigger downstream actions all without depending on live production systems.
When testing ElevenLabs voice agents over time, changes in prompts, models, or infrastructure can introduce hidden regressions.
Cekura enables repeatable regression testing through:
Teams can:
Testing does not stop at deployment. Cekura extends testing into production monitoring for ElevenLabs voice agents.
Cekura provides:
Monitoring spans 30+ metrics across:
This allows teams to detect issues in live ElevenLabs systems, replay failures, and validate fixes under real conditions. Cekura also supports transcript and audio redaction, making it suitable for sensitive production environments.
To validate production readiness, ElevenLabs voice agents must be tested under load and adversarial scenarios.
Cekura supports:
For adversarial testing, Cekura includes:
Cekura is designed for teams that need to test and validate ElevenLabs voice agents across real-world conditions:
Cekura provides enterprise-grade infrastructure for teams building on ElevenLabs.
Capabilities include:
Ecosystem integrations include ElevenLabs, Retell AI, Vapi, Bland, LiveKit, Pipecat, Cartesia, Cisco, and Speechmatics.
These capabilities ensure large-scale ElevenLabs voice deployments remain testable, observable, and reliable.
For teams building on ElevenLabs, Cekura provides a complete testing layer for:
Cekura does not replace ElevenLabs’ voice generation. It enables teams to test whether ElevenLabs voice agents actually work in real-world conditions and continue working as systems evolve.
End-to-end, audio-aware monitoring for ElevenLabs voice agents: Cekura tracks STT to LLM to TTS latency, streaming, audio quality, turn-taking, and hallucinations with real-time alerts.
Discover the 5 best voice agent testing platforms (2026) for automated call simulation, multi-turn conversation testing, regression validation, and reliability testing across real-world voice AI interactions.