Taurus vs PerpBrain

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 PerpBrain
Detail	Taurus	PerpBrain
What it does	Lead armies of AI agents sanely	Verified, guarded Hyperliquid route for AI agents with hashed receipts and keyless access
Stage	Not given	Startup
Founded	Not given	2026
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	Free: $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: SDK, MCP server, simulator, receipts, paper trading. Live orders: 0.01% on volume up to $5M/month, 0.005% above $5M/month (founding testers pay 0% on first $1M/month until 28 Feb 2027). Examples: $500k volume $50/month (standard) or $0 (founding tester); $5M volume $500/month (standard) or $40
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	Hashed receipts anyone can re-verify Full cost pricing before trade execution Keyless access with no custody Owner-set limits on leverage and order size Paper trading and simulation Real order-book depth pricing MCP server protocol support TypeScript and Python SDKs
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	Receipts are hashed and anyone can re-verify them independently Costs priced before the trade based on real order-book depth No keys, accounts or custody required for research and simulation Owner-set limits that agents cannot raise Free and MIT-licensed with competitive builder fees
Community votes	0	0
DR (Domain Rating by Ahrefs)	31 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	30	11
Referring domains (Majestic)	115	1

5 details filled in for both companies.

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