AgentOps
UnclaimedMonitor, evaluate, and improve your AI agents with comprehensive observability.
Visit WebsiteTL;DR - AgentOps
- Observability platform for AI agents.
- Monitors, evaluates, and improves agent performance.
- Aids in debugging and understanding agent behavior.
Pricing: Free plan available
Best for: Growing teams
Pricing Plans
Basic
$0 per month
- Free up to 5,000 events
- Agent Agnostic SDK
- LLM Cost Tracking (400+ LLMs)
- Replay Analytics
Pro
$40 per month
- Everything in Basic plus:
- Unlimited event limit
- Unlimited log retention
- Session and event export
- Dedicated Slack and email support
- Role-based permissioning
Enterprise
Custom
- Everything in Pro plus:
- SLA
- Slack Connect
- Custom SSO
- On-premise deployment
- Custom data retention policy
- Self-hosting (AWS, GCP, Azure)
- SOC-2, HIPAA, NIST AI RMF
About AgentOps
AgentOps is an observability platform designed specifically for AI agents. It allows developers and teams to monitor the performance and behavior of their AI agents in real-time. By providing tools for logging, tracing, and evaluation, AgentOps helps identify issues, debug complex agent interactions, and ultimately improve the reliability and effectiveness of AI applications.
This platform is ideal for developers, AI engineers, and teams building and deploying AI agents who need deep insights into their agent's operations. It helps in understanding how agents make decisions, identifying bottlenecks, and ensuring agents are performing as expected, leading to more robust and efficient AI systems.
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AgentOps FAQ
AgentOps is an observability platform specifically built for AI agents, providing tools to monitor, evaluate, and improve their performance and behavior.
The pricing information is not detailed on the provided pages, but it offers a 'Start for Free' option, indicating a freemium model.
Yes, AgentOps offers a free tier, as indicated by the 'Start for Free' option.
AgentOps is for developers, AI engineers, and teams who are building, deploying, and managing AI agents and require deep insights into their agents' operations for monitoring, debugging, and improvement.