AI Arena
AI Arena is a web3/AI gaming company built by ArenaX Labs, backed by Paradigm and Framework Ventures. Its flagship title, AI Arena, is an Ethereum/Arbitrum-native PvP fighting game where players purchase, train through imitation learning, and battle characters powered by real artificial intelligence, with a native $NRN (Neuron) token and an on-chain marketplace for AI models. Beyond the game, ArenaX Labs ships developer infrastructure for reinforcement learning: RLMesh, an open-source, Gymnasium-compatible framework that connects RL models to environments across process, dependency, and machine boundaries over a gRPC wire protocol (rlmesh-wire-v1), with Python and Rust SDKs; and SAI (competesai.com), a gamified RL research and competition platform with its own CLI. This profile was enriched by the API Evangelist pipeline from public sources — GitHub, package registries, and the RLMesh documentation.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles AI Arena the way a machine reads it — 3 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — AI Arena scores 24.7/100 (emerging), with a separate agent-readiness read of 10/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile AI Arena
Each block below is one kind of artifact we hold for AI Arena. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for AI Arena — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/ai-arena · machine-readable index on apis.io