Taurus vs Excession Labs

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 Excession Labs
Detail	Taurus	Excession Labs
What it does	Lead armies of AI agents sanely	AI security agent and hosted model API for authorized testing
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Not given
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	Starter $20/month with $30 credit; Pro $100/month with $175 credit; Max $200/month with $400 credit; Ultra $500/month with $1,250 credit. Pay as you go: add funds from $10 to $1,000, balance never expires. DeepSeek V4.1 Flash: $0.035 input, $0.005 cached input, $0.50 output per 1M tokens. DeepSeek V
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	Terminal AI agent with parallel workers Per-tool allow, deny and ask rules Evidence-linked findings with severity and remediation steps OpenAI and Anthropic SDK-compatible API endpoints Session save, resume, fork and export Headless mode with JSONL output and exit codes for CI Support for MCP servers, skills, AGENTS.md, slash commands and hooks DeepSeek V4.1 Flash and abliterated variant models Cross-platform support for macOS, Linux and Windows Shared account balance between terminal agent and API
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	Unified billing for both terminal agent and hosted API API compatible with OpenAI and Anthropic SDKs Evidence-based findings with source lines and reproduction steps Terminal agent with configurable tool rules and headless CI mode
Community votes	0	0
DR (Domain Rating by Ahrefs)	31 no change since last check	15 −1 (down) since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	30	0
Referring domains (Majestic)	115	0

4 details filled in for both companies.

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