Voice agents built on Vapi move fast. Prompts change. Models update. Tool calls expand. Traffic spikes. What breaks rarely shows up in a single happy-path test call.
Cekura is built to test Vapi voice agents across simulation, regression, load, red teaming, and production monitoring, with metrics that go deeper than pass or fail.
Below is a complete view of how Cekura supports teams building on Vapi.
Native Integration with Vapi
Cekura provides direct integrations with Vapi for automated inbound and outbound testing, tool call validation, and production monitoring.
You can:
-
Automatically trigger outbound calls for evaluators
-
Run tool call tests and pass transcripts via webhook
-
Simulate production calls with dynamic variables
-
Correlate Vapi runs to Cekura evaluation IDs automatically
No copy-pasting phone numbers. No manual dial loops.
For teams running multiple providers, the same test suite can be executed across Vapi, Retell AI, ElevenLabs, Bland, LiveKit, and Pipecat.
Simulate Real-World Voice Scenarios
Cekura generates and executes multi-turn scenarios that reflect how real users behave:
-
Appointment booking
-
Order modification
-
Human escalation
-
Hearing issues and repetition requests
-
Identity verification
-
Multi-agent handoffs
Scenarios can be:
-
Auto-generated from your knowledge base
-
Written from scratch
-
Edited manually
-
Nested and multi-step for complex flows
You can attach expected outcomes and tool-call assertions to each scenario, making every run measurable.
50+ Personalities to Stress Test Voice Logic
Cekura includes 50+ predefined personalities for voice simulations
Examples include:
-
Elderly caller
-
Broken English speaker
-
Male Indian accent
-
Spanish accent
-
One-word responder
-
“Pauser” with long silence gaps
-
“Interrupter” who cuts the agent mid-sentence
You can also:
-
Add background noise such as café ambience
-
Increase interruption frequency
-
Fork and customize personalities
This is critical for Vapi agents handling Smart Turn detection, interruption handling, and latency-sensitive flows.
25 Predefined Metrics for Voice Evaluation
Cekura ships with over 25 predefined metrics, covering:
Conversation Quality
-
Response Consistency
-
Relevancy
-
CSAT
-
Interruptions
-
Unnecessary Repetition
-
Appropriate Call Termination
-
Pronunciation Check
-
Voice Quality
Infrastructure & Latency
-
Mean latency
-
P50 and P90 latency
-
Time to First Audio via transcript timing
-
Infrastructure Issues metric for silence detection
Latency metrics include statistical outputs such as mean, P50, and P90, and failure rates under load can be measured during stress testing.
Tool Call Accuracy
-
Tool Call Success
-
API trigger validation
-
CRM updates
-
Order edits
-
Account validation checks
Factual Grounding
-
Hallucination checks against uploaded knowledge base
-
Instruction-following checks
-
SOP adherence
Metrics can be:
-
Agent-level
-
Project-level
-
Custom-defined
-
Threshold-based with alerts
Load Testing Up to 2000+ Concurrent Calls
Cekura supports north of 2000 concurrent calls for load testing.
You can:
-
Distribute concurrency across evaluators
-
Simulate inbound and outbound stress
-
Measure failure rates under increasing load
-
Detect infrastructure bottlenecks, timeouts, and agent silence
This is especially useful when scaling Vapi agents across marketing campaigns, healthcare onboarding, or customer support spikes.
Developer plans include 10 concurrent calls, while Enterprise plans support custom concurrency limits.
Red Teaming for Jailbreaks, Bias, and Data Leakage
Cekura includes a Red Teaming suite with 10,000+ specialized multi-turn adversarial scenarios.
Coverage includes:
-
Jailbreak and prompt injection
-
Bias and fairness checks
-
Toxicity
-
PII and data leakage attempts
For compliance-heavy industries such as healthcare and fintech, Red Teaming can be extended through Forward Deployed Engineers for custom HIPAA or PCI-specific adversarial cases.
Production Monitoring & Observability
Cekura monitors production calls and evaluates them automatically:
-
0.2 credits per metric run for observability
-
Real-time dashboard updates after call processing
-
Slack and email metric-wise alerts
-
Trend-based anomaly alerts for drift detection
-
Custom dashboards with Group By filters and A/B comparisons
Calls can be redacted for sensitive data at transcript and audio level.
Webhooks allow you to push evaluation results into your own database or BI tools.
Regression Testing & CI/CD Gates
Cekura supports:
-
Baseline regression suites
-
Automatic replays when models or prompts change
-
Scheduled Cron jobs for nightly runs
-
API-based triggers for CI/CD pipelines
Teams can:
-
Compare runs side by side
-
Benchmark different models or prompts in one batch
-
Lock baselines and track longitudinal drift
SMS and Multi-Channel Testing
Beyond voice, Cekura supports:
-
SMS testing
-
WebSocket chat testing
-
Cross-channel reuse of the same evaluators
You can test SMS-based 2FA flows during calls and ensure state continuity.
Enterprise-Grade Controls
Enterprise customers get:
-
SOC 2
-
HIPAA support and BAA
-
GDPR compliance
-
In-VPC deployment
-
Role-based access control
-
Custom SSO
-
White-label reports
-
Dedicated support channels
Transparent Credit Model
Cekura uses a credit-based system:
-
5 credits per minute of voice testing
-
0.5 credits per chat message
-
0.2 credits per metric evaluation
Developer Plan:
-
$30 per month
-
750 credits included
-
1 project
-
10 concurrent calls
Enterprise:
-
Custom credits
-
Custom concurrency
-
Multiple projects with access control
Trusted by Production AI Teams
Cekura supports healthcare and enterprise AI teams such as Twin Health, whose clinical onboarding voice agent uses Cekura for regression testing, red teaming, and HIPAA-safe verification workflows.
Why Vapi-Powered Teams Choose Cekura
When building on Vapi, you are managing:
-
Turn detection
-
Tool orchestration
-
Interrupt handling
-
Persona consistency
-
Latency under load
-
Security boundaries
-
Production drift
Cekura gives you simulation, evaluation, monitoring, and regression coverage across all of it, with measurable metrics and automated workflows.
If you are shipping Vapi voice agents into production, testing one call at a time is not enough.