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Taurus vs Nevarn

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 Nevarn
DetailTaurus logo TaurusNevarn logo Nevarn
What it doesLead armies of AI agents sanely The back office for trading bots and agents
StageNot given Startup
FoundedNot given 2026
Based inNot given SE
Pricing modelFreemium Paid
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 Starter: $199/month (2 active mandates, 5,000 rulings/month). Team: $799/month (20 active mandates, 100,000 rulings/month). Enterprise: Custom pricing. Additional: $20/month per further active mandate and $1 per further 1,000 rulings. Merchants accepting AI-agent payments: 0.5% per settled payment,
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
  • Shadow mode for testing intents without execution
  • Execute intents in Sandbox (paper fills) or Production (queued orders)
  • Halt all signing across account with single control
  • Permissions limited by venue, action, per-transaction and daily caps, expiring within ninety days
  • Reconciled books recorded on-chain
  • Receipts with Decionis ruling, order, fill transaction, settlement, ledger entries and balance
  • HTTP API with strategy contract
  • Typed error handling with rate limiting and retry support
  • Idempotent intent submission with intentKey for safe retries
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
  • Pre-trade checks ensure intents meet policy before execution
  • Sandbox environment for paper trading and testing without real execution
  • Recorded decisions and books reconciled on-chain for audit and transparency
  • SDKs and MCP server free under Apache License 2.0
  • User retains custody and control; platform cannot access wallet or private keys
Community votes00
DR (Domain Rating by Ahrefs)31 no change since last check4 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)3012
Referring domains (Majestic)1151

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