Lightberry
Lightberry is a San Francisco robotics software company (Y Combinator Fall 2025) that builds conversational AI "personality" software for humanoid and quadruped robots. Its platform lets a robot listen, speak, see its surroundings, and act on natural-language instruction without the owner writing any code, emphasizing emotional intelligence, contextual awareness, and autonomy rather than a simple speech-to-text voice pipeline. Lightberry ships pre-installed on robots sold through its partnership with Unitree, and the company runs a manufacturer-compatibility program with robot makers including Fourier, Booster Robotics, and High Torque. Its published documentation today covers device setup (power-on, WiFi provisioning, starting a conversation) plus an MCP architecture note describing a Model Context Protocol server that routes tool calls to individual Lightberry devices, which each expose a REST endpoint. There is no public developer portal, API reference, SDK, or OpenAPI definition at this time.
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 Lightberry 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 — Lightberry scores 11.5/100 (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 Lightberry
Each block below is one kind of artifact we hold for Lightberry. 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 Lightberry — 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 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Company 2
The organization behind the API
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