BenchRank
#14 in Orchestration & SchedulingUpdated 2026-08

Tracecat

by Tracecat · Open source SOAR for security teams and AI agents

BenchRank score

53.7 — BenchRank score out of 100

Screenshots of Tracecat

Homepage · Tracecat

Homepage of Tracecat

Overview

Tracecat is an open source SOAR platform for security teams. It combines workflows, case management and AI agents that reach tools such as SIEM, EDR, IdP and cloud providers via prebuilt integrations and hosted MCP servers, with loops, conditions, parallel subflows and Python, Bash or Ansible scripts. Agents can pause for human approval, and prompts and tool calls are logged.

Best for
Security teams self-hosting SOAR who want to build AI agents over their existing tooling
Pricing
The Open Source edition is free forever to self-host; Enterprise is custom-priced and quoted after a demo, with no figures published.
Runs on
Self-hosted

Strengths and trade-offs

Strengths

  • Self-host in your own VPC, on-prem or on Tracecat cloud
  • Free edition: unlimited workflows and cases, SSO, audit logs
  • Over 100 hosted MCP servers, no integration code needed
  • Sensitive agent actions pause for logged human approval

Trade-offs

  • Enterprise pricing is custom only — no figures published
  • Agent builder, RBAC, SCIM and case metrics are Enterprise-only
  • Managed cloud and Kubernetes are not in the open source edition
  • AI-powered dashboards are listed as coming soon

Pricing

Published plans and prices from Tracecat’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The Tracecat pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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