Open-source platform combining product analytics, session replay, A/B testing, and feature flags in one toolkit for product engineers.
Currai
$29/moStarting price
345Monthly visits
0Popularity
About Currai
Currai is a platform designed to analyze production conversations across both chat and voice interactions to identify user intents, agent failures, policy violations, and recurring issues. It captures and consolidates model outputs, tool calls, retrieval context, and user sentiment into a single trace view, enabling teams to compare what users requested, what agents claimed to do, and what tools actually executed. The platform automatically groups real conversations into user stories and intents, highlights violations against defined rules, and provides evidence for each observation. Currai tracks success rates, intent trends, and violation patterns over time to guide improvements in prompts, tools, and workflows. It supports integration with voice stacks like Vapi and offers native HTTP capture without requiring SDKs, allowing for quick setup and immediate visibility into agent behavior. Currai is particularly useful for teams managing AI agents in customer support, sales, or operational workflows who need to ensure accuracy, compliance, and continuous improvement in agent performance.
Key features
- Full conversation traces with timestamps and metadata
- Intent discovery from production conversations
- Violation rule monitoring against defined policies
- Success rate and trend analytics over time
- Slack alerts for silent failures and rising friction
- Native HTTP capture without SDKs or collectors
- Voice stack integration with Vapi, ElevenLabs, and Retell AI
- Actionable suggestions for prompt and tool improvements
Use cases
- Identifying why users repeatedly request refunds after duplicate charges
- Detecting agent failures to resolve customer issues in support calls
- Monitoring compliance violations such as incorrect refund confirmations
Pros
- Captures full agent traces including messages, model output, tool calls, and retrieval context
- Groups conversations into user stories and intents automatically
- Detects silent failures, policy violations, and recurring friction points
- Provides evidence and metrics for every observation
- Supports both chat and voice agent monitoring
Cons
- Free plan limited to 1,000 events per month with 3-day retention
- No explicit mention of multi-language support beyond English
- Pricing page indicates contact sales for custom plans, suggesting limited transparency
Frequently asked questions about Currai
What does Currai do?
Currai analyzes production conversations from chat and voice interactions to surface user intents, agent failures, policy violations, and recurring issues. It provides a unified trace view of model outputs, tool calls, retrieval context, and user sentiment to help teams understand and improve agent behavior.
Who is Currai for?
Currai is designed for teams managing AI agents in customer support, sales, or operational workflows who need to monitor performance, ensure compliance, and identify areas for improvement in agent interactions.
How does Currai integrate with existing systems?
Currai supports integration with voice stacks like Vapi and offers native HTTP capture without requiring SDKs. It can also be connected via a coding-agent skill or through direct HTTP instrumentation of agent paths.
What kind of insights does Currai provide?
Currai groups conversations into user stories and intents, highlights violations against defined rules, tracks success rates and intent trends over time, and provides evidence for each observation to guide improvements.
Can Currai work with voice interactions?
Yes, Currai supports voice interactions and can integrate with voice stacks like Vapi, Retell AI, and Ringg AI to analyze completed voice calls and turn them into actionable insights.
How do I get started with Currai?
You can get started with Currai by booking a demo, exploring the product tour, or installing the Currai skill directly in your application. The platform offers documentation and guides to help teams set up and begin monitoring agent conversations quickly.
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