How do their growth rates compare?

Multi-Agent Arena has a month-over-month growth rate of -78%; Skillry has +1,762.1%.

How does pricing compare?

Multi-Agent Arena: Free. Free. There is no paid tier advertised; the arena and published research material are openly available. Skillry: Freemium. Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

What are alternatives to Multi-Agent Arena and Skillry?

Other tools in related categories include Code Arena, MotionSites, Impeccable, Design Arena, SkillsMP — Agent Skills Marketplace.

Multi-Agent Arena vs Skillry — Traffic (5.24K vs 535.82K), Pricing & Verdict

Open AI Tools

Multi-Agent Arena vs Skillry — Traffic (5.24K vs 535.82K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Multi-Agent Arena	Skillry
Official Domain	olamlabs.ai	skillry.dev
Pricing Model	Free	Freemium
Monthly Visits	5.24K (5,242)	535.82K (535,817)
MoM Traffic Delta	-18.53K (-78%)	+507.04K (+1,762.1%)
Primary Market & Share	🇺🇸 United States (100%)	🇺🇸 United States (17%)
Direct Visits / mo	1.95K	242.88K
User Rating	4	4.5
Supported Platforms	Website	Website

Multi-Agent Arena

Test how AI models cooperate, negotiate, and deceive in strategy games

Multiple games with distinct incentives

Diplomacy, Poker, Risk, and other negotiation scenarios each create different pressures, so a model's social behaviour can be compared across contexts.

Multi-agent evaluation data

Matches generate measurable outcomes such as broken promise rates and share of spoils, turning vague impressions of model personality into comparable numbers.

Designed for model comparison

Several models can be placed in the same scenario, making head-to-head differences in cooperation, deception, and negotiation visible.

Published research and release notes

The team documents findings, updates, and collaborations so results can be read alongside the arena itself.

Strengths & Pros

+Free access with no account barrier described
+Games give structured, comparable incentives that plain chat evaluation cannot provide
+Covers both cooperative and adversarial dynamics in one environment
+Backed by published research and release notes from the Olam Labs team