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Kiva Systems (Amazon Robotics since 2012) website screenshot

Kiva Systems (Amazon Robotics since 2012)

Kiva Systems was a warehouse robotics company founded in 2003 that pioneered the goods-to-person mobile fulfillment model, in which fleets of low-profile drive units lift and carry mobile storage pods to human pick stations instead of moving workers to static shelving. Amazon acquired Kiva Systems in March 2012 for approximately US$775 million and renamed it Amazon Robotics in 2015. Since the acquisition the technology has been developed exclusively for Amazon's own fulfillment and sortation network and is no longer sold to third parties. Amazon Robotics publishes no public API, developer portal or SDKs; amazonrobotics.com now redirects to Amazon's internal identity provider and kivasystems.com no longer resolves. This profile is retained as a historical and acquisition record in the physical-AI and warehouse-robotics space rather than as an integratable API provider. Not to be confused with AWS RoboMaker or AWS IoT RoboRunner, which are AWS product APIs.

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 Kiva Systems (Amazon Robotics since 2012) the way a machine reads it — 2 machine-readable artifacts, 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 — Kiva Systems (Amazon Robotics since 2012) scores 8.6/100 (minimal), with a separate agent-readiness read of 7/100 (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 — 8.6/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 1.4 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 7/100 · 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 4 / 4
Consent & Bot Identity 3 / 3

How we profile Kiva Systems (Amazon Robotics since 2012)

Each block below is one kind of artifact we hold for Kiva Systems (Amazon Robotics since 2012). 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 2

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 Kiva Systems (Amazon Robotics since 2012) — 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.

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Learn 1

Tutorials, courses, talks, and written guidance

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/kiva-systems-amazon-robotics-since-2012 · machine-readable index on apis.io