Monitor and optimize production-ready LLM applications
Parea AI helps teams manage the entire lifecycle of large language model (LLM) applications. It provides tools for testing performance, collecting human feedback, and monitoring real-world usage to ensure reliable AI deployments. Developers can track experiments, debug failures, and deploy optimized prompts while maintaining visibility into costs and system behavior.
Compare model versions and track performance changes over time
Collect annotations from experts and end-users for model improvement
Test multiple prompt variations at scale before deployment
Track costs, latency, and quality metrics in live environments
Native integrations with OpenAI, Anthropic, LangChain & more
Supports any LLM application through SDK integrations including chatbots, RAG systems, and automated workflows
Yes, supports staging environment monitoring and pre-deployment testing
Retention periods vary by plan from 1 month (Free) to customizable durations (Enterprise)
This tool is best for:
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Parea AI can be integrated with these apps and services:
Recent data shows that Parea AI has 4.3K monthly visits (151.7% increase from the previous month), 41.0% bounce rate, and average 1.81 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 3 countries worldwide, led by United States contributing 60% of total traffic. SEO performance is shown by 5 tracked keywords, with "parea" being the top-performing keyword with 2.6K monthly searches. See below for more info.
Monthly Visits
4.3K
Pages per Visit
1.81
Bounce Rate
41.0%
Average Time on Site
32s
| SEO Keyword | Volume | CPC |
|---|---|---|
| parea | 2.6K | - |
| parsehia ai | 70 | - |
| parea ai | 10 | $4.27 |
| párea | 540 | $0.13 |
| litellm | 56.0K | - |
| Source | Traffic Share |
|---|---|
| Direct | 44% |
| Search | 38% |
| Social | 8% |
| Referrals | 9% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 60% |
 | 25% |
 | 15% |
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