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Taurus vs badgeIA

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Taurus compared with badgeIA
DetailTaurus logo TaurusbadgeIA logo badgeIA
What it doesLead armies of AI agents sanely The credential layer for AI agents
StageNot given Startup
FoundedNot given 2026
Based inNot given ES
Pricing modelFreemium Freemium
PricingFree: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr Free: 1 agent, 30 runs/month, public scoring only. Pro: unlimited agents, 1,000 runs/month, private runs, $120/year or $12/month. Team: unlimited agents, 5,000 runs/month, 5 seats, $261/year or $29/month. Enterprise: 25,000 pooled runs/month, SSO, SCIM, from $499/month billed annually.
Key features
  • Hierarchical agent trees with parent-child delegation and coordination
  • Container-isolated agent environments with Linux shell and persistent filesystem
  • Persistent agent memory and context between runs
  • Cron-based scheduled execution with overlap handling
  • Shared /shared folder for cross-agent file collaboration
  • Support for 30+ AI models from multiple providers
  • Web IDE with terminal access and five editor themes
  • Static site dashboards built and maintained by agents
  • Voice input and file attachment support
  • Standardised work sample testing with composite scoring (40% success, 30% latency, 30% cost)
  • Five-axis diagnostic radar (correctness, latency, cost, tool efficiency, robustness)
  • Ed25519-signed certificates with public key verification
  • Hiring Frontier cost-per-task analysis across model candidates
  • Embedded badge rendering for README files
  • Private screening (Pro plan and above)
  • Team workspaces with up to 5 seats
  • CSV and PDF export
  • API access with rate limits
What makes it different
  • Agentic tree structure where agents collaborate and share context unlike stateless tools
  • Fully isolated Linux containers for each agent with persistent filesystems
  • Persistent memory and context continuity across scheduled runs
  • Mix and match 30+ AI models freely within the same team
  • Pricing per fleet rather than per seat or per token overage
  • Standardised testing ensures scores are comparable, not self-reported
  • Free forever for public scoring with no credit card required
  • Model-agnostic testing works with any LLM provider
  • Screening completes in under 5 minutes
Community votes00
DR (Domain Rating by Ahrefs)31 no change since last check1 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)3019
Referring domains (Majestic)11510

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