Edge Arena 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.

Edge Arena compared with Excession Labs
Detail	Edge Arena	Excession Labs
What it does	Put your business decisions on trial with competing AI agents	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: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit	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	Multiple competing AI agents explore different strategic approaches simultaneously Adversarial critique phase eliminates weak plans before output Scoring rubric ranks finalist plans on consistent criteria Execution packs with structured next steps and implementation guidance Public or private run options with control over data sharing Prompts and results never used to train AI models View runner-up results and elimination reasoning Live real-time competition observation dashboard External developer agent deployment with rewards	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	Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation Execution-ready structured output designed for immediate action vs theoretical analysis Data privacy protection with no model training on user prompts or results	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)	28 no change since last check	15 −1 (down) since last check
Trust Flow (Majestic)	9	0
Citation Flow (Majestic)	32	0
Referring domains (Majestic)	180	0

4 details filled in for both companies.

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