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.

Arena AI is profiled on the APIs.io network. Tagged areas include Company, Enterprise Saas, Artificial Intelligence, Hardware Engineering, and Radio Frequency.

Arena AI’s developer surface includes engineering blog and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

9.2/100 minimal ▬ flat Agent 0/100 human only Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Enterprise Saas Artificial Intelligence Hardware Engineering Radio Frequency Electromagnetics MCPApplied ResearchSemiconductors Enterprise Data Analytics

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 9.2/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 2.4 — up to +19.5 composite points
Access Clarity scores 21.1 — up to +15.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/arena-ai/apis.yml: open an issue on github.com/api-evangelist/arena-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Arena Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Careers

Blog

Website

Source (apis.yml)

aid: arena-ai
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/arena-ai.png
name: Arena AI
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/arena-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- initialized-capital
x-tier: stub
x-tier-reason: portfolio-lead
x-former-domain: arena-ai.com
x-rebrand: Arena Physica (arenaphysica.com)
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Enterprise Saas
- Artificial Intelligence
- Hardware Engineering
- Radio Frequency
- Electromagnetics
- MCP
- Applied Research
- Semiconductors
- Enterprise
- Data
- Analytics
tags_raw:
- Company
- Enterprise Saas
- Artificial Intelligence
- Hardware Engineering
- Radio Frequency
- Electromagnetics
- Model Context Protocol
- Applied Research
- Semiconductors
- AI
- Enterprise
- Data
- Analytics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/arena-ai-domain-security.yml
- type: Website
  url: https://arenaphysica.com/
- type: Careers
  url: https://arenaphysica.com/careers
- type: Blog
  url: https://arenaphysica.com/news
- type: TermsOfService
  url: https://arenaphysica.com/terms-of-service
- type: PrivacyPolicy
  url: https://arenaphysica.com/privacy-policy
- type: Website
  url: https://www.arenaphysica.com/
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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