Beacon Biosignals
Beacon Biosignals is a neurotechnology company applying machine learning to EEG (electroencephalography) to advance precision medicine for conditions affecting the brain. Founded in 2019 by Jacob Donoghue (MD, PhD) and Jarrett Revels, the company operates two lines of business: a life-sciences platform that collects, integrates and analyzes EEG across drug development and clinical trials (over 2 million hours of EEG processed across 40+ trials), and a home sleep testing business built on the SleepView Monitor and SleepView Direct platforms (500,000+ home sleep tests completed). Beacon acquired CleveMed in April 2025, and its Dreem 3S was authorized by the FDA in December 2024 as the first sleep wearable cleared with a predetermined change control plan. Beacon publishes no public REST API or developer portal; its public technical surface is a substantial open-source Julia ecosystem under the beacon-biosignals GitHub organization, including the Onda signal-data format, the Legolas schema framework, EDF.jl and Lighthouse.jl. Backed by General Catalyst, GV, Takeda, S32 and Innoviva.
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 Beacon Biosignals 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 — Beacon Biosignals scores 26.7/100 (emerging), with a separate agent-readiness read of 4/100 (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 Beacon Biosignals
Each block below is one kind of artifact we hold for Beacon Biosignals. 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 Beacon Biosignals — 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 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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