Arena AI
Arena AI (now operating as Arena Physica) is a New York-headquartered applied-research company building what it calls "electromagnetic superintelligence." Its flagship product, Atlas, is an AI-powered hardware-engineering platform that pairs general intelligence with deterministic physics models to accelerate the design, verification, and debugging of electronic and RF hardware. Atlas ingests telemetry, schematics, CAD files, and firmware, then connects via API or MCP (Model Context Protocol) to engineering toolchains such as Jira, GitHub, Altium, Cadence, and SPICE simulators, and to test equipment from vendors like Keysight and Tektronix. Atlas RF Studio, the company's RF design tool, is currently in beta. The company operates from New York City (HQ), San Francisco, and Los Angeles.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Arena AI the way a machine reads it — 1 machine-readable artifact, 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 — Arena AI scores 11.4/100 (minimal), with a separate agent-readiness read of 0/100 (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 Arena AI
Each block below is one kind of artifact we hold for Arena AI. 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 1
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 Arena AI — 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.
Access & Security 1
Authentication, authorization, and security posture
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
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