Agentmetry vs Tracecat: Which is Better in 2026?
A comprehensive comparison of Agentmetry and Tracecat covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Agentmetry if:
- →You want more affordable paid plans (from $2/mo)
- →You need records agent activity at the tool boundary or mitre att&ck technique tagging per event
Choose Tracecat if:
- →You need agents, cases, and workflows in one open-source platform or mcp connections to tools like wiz and crowdstrike falcon
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Agentmetry vs Tracecat: At a Glance
Pricing Comparison: Agentmetry vs Tracecat
Understanding the pricing differences between Agentmetry and Tracecat is crucial for making the right choice. Here's how their plans compare side by side.
Agentmetry Pricing
💡 Pricing takeaway: Both Agentmetry and Tracecat offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Agentmetry and Tracecat stacks up.
What Makes Each Tool Unique
🔵 Unique to Agentmetry
Features available in Agentmetry but not in Tracecat:
- ✓Records agent activity at the tool boundary
- ✓MITRE ATT&CK technique tagging per event
- ✓Sequence correlation into single critical alerts
- ✓Runs fully local with zero cloud calls
- ✓Secret values excluded from the trail
- ✓SIEM-readable output format
🟣 Unique to Tracecat
Features available in Tracecat but not in Agentmetry:
- ✓Agents, cases, and workflows in one open-source platform
- ✓MCP connections to tools like Wiz and CrowdStrike Falcon
- ✓Human approval gates before containment actions execute
- ✓Prompt-to-automation via Tracecat MCP
- ✓Free self-hosted tier with SSO and audit trails included
- ✓Docker, AWS Fargate, or Kubernetes Helm deployment
Use Case Recommendations
Best for: Agentmetry
Agentmetry is a local flight recorder for AI coding agents, written for the security engineer who found out their company was running Cursor by reading a pull request. Endpoint detection sees a process; it does not see that an agent read a private SSH key and then made an outbound network call in the same session. Agentmetry records agent activity at the tool boundary — every read, shell command and fetch — correlates the sequence, tags it against MITRE ATT&CK technique IDs, and raises a single critical alert for the pattern rather than a stream of individually unremarkable events. The worked example on the homepage is exactly that: a `cat ~/.ssh/id_rsa` read tagged T1552.004, an `aws configure list` shell call tagged T1059 with DLP flagging an AWS access key, and a WebFetch to a paste site tagged T1071.001, correlated into one credential-exfil finding. Secret values themselves are never written to the trail. It runs entirely on the machine with zero cloud calls, ships nine detection rules in the current phase, and emits in a format existing SIEMs already read, so it slots into an established pipeline rather than becoming another console. Install is a git clone plus `pip install -e`, with a PowerShell installer for Windows. The whole thing is Apache-2.0 open source with the code public, which matters for a tool whose entire value proposition is that it watches privileged activity.
Ideal use cases:
- •Teams or individuals who need records agent activity at the tool boundary
- •Teams or individuals who need mitre att&ck technique tagging per event
- •Teams or individuals who need sequence correlation into single critical alerts
- •Teams or individuals who need runs fully local with zero cloud calls
- •Anyone focused on security workflows
- •Anyone focused on agents workflows
Best for: Tracecat
Tracecat is an open-source SOAR — security orchestration, automation, and response — rebuilt for teams that want to run security agents alongside traditional workflows. The pitch is leverage: turn analysts into builders and builders into architects so a team of three can do the work of thirty, replacing the static, brittle playbooks of legacy SOAR with custom agents you own. The platform is organized around agents, cases, and workflows, with a skills registry and MCP inventory so agents reach tools like Wiz and CrowdStrike Falcon through MCP connections rather than bespoke integrations. A representative flow from the site: a Wiz cloud finding fires, a SOC analyst agent pulls associated assets and CloudTrail context, correlates with EDR telemetry from Falcon, opens a case, and proposes containment — then waits for a human to approve before isolating the host and revoking session tokens. Human approval gates are first-class rather than an afterthought. The open-source tier is free forever and genuinely usable: unlimited workflows and cases, Tracecat MCP for prompt-to-automation, prebuilt integrations, lookup tables, SSO and audit trails included, and deployment via Docker or AWS Fargate. Enterprise adds advanced agents and cases, RBAC and SCIM, agent guardrails, git-native version control, a Kubernetes Helm chart, a forward-deployed security engineer, and 24/7 support.
Ideal use cases:
- •Teams or individuals who need agents, cases, and workflows in one open-source platform
- •Teams or individuals who need mcp connections to tools like wiz and crowdstrike falcon
- •Teams or individuals who need human approval gates before containment actions execute
- •Teams or individuals who need prompt-to-automation via tracecat mcp
- •Anyone focused on soar workflows
- •Anyone focused on security automation workflows
🛡️ Other AI Security & Testing Tools to Consider
Agentmetry and Tracecat aren't the only options. Here are other popular tools in the same space:
Lineation
Security control plane for AI agents — zero-trust agent identity, LLM and MCP gateways, policy-as-code, and prompt-injection defense
Axtary
Payload-bound authorization for AI agents — human approval is cryptographically tied to the exact action, so a changed payload is denied
Trestle
Local secret scanner with an MCP server so coding agents check their own output
ZeroLeaks
Continuous AI red teaming for agents, endpoints and MCP tools, with unlimited scans on every plan
Bot Butcher
LLM-based spam classification API for contact forms — a reCAPTCHA alternative with no visitor friction
SkillShield
Security-scanned directory of agent skills and MCP servers, with a local CLI scanner and VS Code extension
Is one of these your tool?
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Frequently Asked Questions
Is Agentmetry better than Tracecat?
It depends on your needs. Agentmetry offers 6 key features including Records agent activity at the tool boundary and MITRE ATT&CK technique tagging per event, while Tracecat provides 6 features including Agents, cases, and workflows in one open-source platform and MCP connections to tools like Wiz and CrowdStrike Falcon. Agentmetry uses a open-source model with a free tier, while Tracecat is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Agentmetry cheaper than Tracecat?
Tracecat doesn't have standard paid plans, while Agentmetry starts at Apache-2.0 open source, installed from GitHub. No paid tier or pricing page is published as of August 2026.. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Agentmetry and Tracecat together?
Yes, many users combine Agentmetry and Tracecat in their workflow. Agentmetry excels at records agent activity at the tool boundary, while Tracecat shines with agents, cases, and workflows in one open-source platform. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Agentmetry and Tracecat?
While both are ai security & testing tools, Agentmetry emphasizes records agent activity at the tool boundary, whereas Tracecat is known for agents, cases, and workflows in one open-source platform. The best choice depends on your specific workflow and feature priorities.
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