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Looking Glass website screenshot

Looking Glass

Looking Glass Factory builds light field (holographic) displays — group-viewable 3D screens ranging from the pocket-sized Looking Glass Go to 16", 27", 32" and 65" panels — plus the software that drives them. For developers, the core surface is Looking Glass Bridge: a local runtime that exposes an HTTP REST API on http://localhost:33334/ for enumerating connected displays, opening the media player, building playlists of Quilt and RGBD holograms, and controlling playback. Around it Looking Glass ships official client libraries — the typesafe bridge.js (@lookingglass/bridge), a WebXR polyfill (@lookingglass/webxr) that targets the displays from any WebXR framework, a Python Bridge SDK, the legacy HoloPlay Core C/C++/C# SDK, and engine plugins for Unity, Unreal and Blender. Looking Glass Blocks (blocks.glass) hosts holograms on the internet. The company is backed by Uncork Capital and headquartered in Brooklyn, New York.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Looking Glass the way a machine reads it — 10 machine-readable artifacts across 6 APIs, 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 — Looking Glass scores 42.1/100 (thin), with a separate agent-readiness read of 43/100 (agent aware). 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 42.1/100 · thin
Contract Quality 10.6 / 25
Developer Ergonomics 11.7 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 8.8 / 10
Agent readiness — 43/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 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 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Looking Glass

Each block below is one kind of artifact we hold for Looking Glass. 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.

APIs 6

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Looking Glass Autostart API

Playlists that auto-play when Bridge starts

Looking Glass Devices API

Enumerate connected Looking Glass displays

Looking Glass Orchestration API

Multi-user Bridge sessions (orchestrations)

Looking Glass Playback API

Transport controls for the Bridge media player

Looking Glass Playlist API

Create, edit and delete hologram playlists

Looking Glass Version API

Bridge and API version information

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

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.

Looking Glass Authentication

0 schemes

SECURITY

Looking Glass Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Looking Glass Vulnerability Disclosure

contact published

SECURITY

Resources

Every other property we hold for Looking Glass — 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 3

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Commercial 3

Pricing, plans, and the legal terms of use

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/looking-glass · machine-readable index on apis.io