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Skild AI website screenshot

Skild AI

Skild AI is a Pittsburgh-founded robotics AI company developing the Skild Brain, a general-purpose, omni-bodied physical AI system intended to control many different robot embodiments across many tasks without being tied to a specific hardware design. The company is initially targeting three application platforms: security and inspection robots that can navigate dangerous environments, mobile manipulation systems combining grasping and navigation, and autonomous packing with dexterous skills. Skild publishes a research blog discussing topics such as learning from humans and video data. The company is backed by Sequoia, General Catalyst, Felicis, SoftBank, Bezos Expeditions, and other investors. Skild AI does not currently publish a public API, SDK, model weights, or developer documentation; commercial engagement appears to run through direct partnerships and pilots.

human only

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.

Kin Score

API Evangelist profiles Skild 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 — Skild AI scores 7.2/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 7.2/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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

How we profile Skild AI

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

Skild Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Skild 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

Operate 1

Status, limits, changes, and where to get help

← All providers · Data indexed from github.com/api-evangelist/skild-ai · machine-readable index on apis.io