
AgentCat

See exactly how agents experience your product. Replay every session, detect issues, and understand agent intent with AgentCat's analytics and observability platform.
Editor's Verdict
Key Takeaways
- Session Replay
- Agent Goals
- Analytics Dashboard
- Automatic Issue Detection
In-Depth Review: What is AgentCat?
AgentCat provides full visibility into every agent interaction, enabling teams to debug faster, understand agent goals, and improve the Agent Experience (AX). With session replay, automatic issue detection, and goal grouping, AgentCat helps you build better AI products.
Core Features
Session Replay
Step through every tool call in any session to see the request, response, and any errors encountered.
Agent Goals
Every session is enriched with a goal based on agent activity, trends, and session history.
Analytics Dashboard
Get a birds-eye view on your MCP server and understand critical trends over time.
Automatic Issue Detection
See per-tool performance and error rates to spot which tools are causing problems.
A/B Testing
Create A/B tests to validate solutions. View results and ship only proven improvements.
Slack Integration
@mention AgentCat anywhere in Slack to triage issues. Connect existing tools via MCP server.
Enterprise Security
SOC II compliant, SSO, audit logs, two-layer redaction, fully open-source, and self-hosting options.
Pricing
Free
- 500 sessions / month
- 1 project
- Up to 3 teammates
- Session Replay
- Analytics Dashboard
Growth
- 2,000 sessions / month
- Unlimited projects
- Up to 10 teammates
- Issues & Error Grouping
- LLM Goals (add-on)
Enterprise
- Custom session volume
- Unlimited projects
- Custom team size
- S3 / Snowflake / BigQuery exports
- SSO & SAML
- Audit logs
- Priority support via Slack
- SLA guarantees
Pros and Cons
Pros
- Reduced Debugging TimeSession replay and error grouping cut debugging from days to hours.
- Agent Intent InsightsAutomatic goal extraction reveals what agents are trying to achieve.
- Fast QBR PreparationAgent goals and analytics enable QBR prep in just 15 minutes.
- Enterprise-Grade SecuritySOC II compliance, SSO, audit logs, and data redaction protect sensitive data.
- Seamless CollaborationSlack integration allows teams to triage issues without leaving their workflow.
Cons
- Free Session LimitFree plan caps at 500 sessions per month, limiting use for high-traffic servers.
- Teammate Limit on GrowthGrowth plan supports only up to 10 teammates, which may not scale for larger teams.
- Overage CostsExceeding session limits incurs $40 per 1,000 sessions, adding unpredictable costs.
- LLM Goals as Add-OnGoal classification is not included in Growth; requires an additional $90/month add-on.
- Enterprise CommitmentEnterprise requires annual billing and a custom contract, reducing flexibility.
Use Cases & Recommended Professions
AI Engineer→ View Toolkit
Needs to debug agent behavior and optimize MCP server performance using session replays and error grouping.
Product Manager (AI)→ View Toolkit
Uses agent goals and analytics to inform roadmap decisions and understand user-agent interactions.
Customer Success Manager→ View Toolkit
Leverages agent goals and session data during QBRs to demonstrate value and identify usage patterns.
QA Engineer→ View Toolkit
Relies on issue detection and session replay to identify hallucinations, crashes, and tool errors.
AI Researcher→ View Toolkit
Studies agent trends and use cases to advance AI capabilities and improve agent experiences.
Software Developer→ View Toolkit
Integrates with MCP servers and needs observability to monitor tool performance and troubleshoot issues.
Frequently Asked Questions
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View Detailed Comparison →ℹ️ Curation Disclosure: The overview and features of AgentCat were synthesized using AI and fact-checked by our curation team to ensure accuracy.












