Dexterity
Dexterity is a Redwood City, California Physical AI company founded in 2017 by Samir Menon and a group of Stanford roboticists. It builds a full-stack industrial robotics platform that combines the Mech — a roving, dual-arm superhumanoid robot — with Foresight, an in-house world model trained on more than 100 million autonomous actions in production. Foresight orchestrates 68+ skill agents (packing, motion, actualization, trajectory, force-control) across the IRIS hardware abstraction layer to drive Kawasaki arms, HiWin motion components, and Dexterity's own mobile bases at sub-400ms decision latency with zero reported safety incidents. Customers include FedEx, UPS, Sagawa Express, Maersk, and VFC, and the company has raised more than 291M USD from Kleiner Perkins, Lightspeed Venture Partners, Obvious Ventures, Sumitomo Corporation, and B37 Ventures. Dexterity's commercial offering is enterprise Physical AI deployment (no self-service developer API), but it does run a public, research-grade REST API — the Foresight Packing Challenge — that exposes the bin-packing facet of Foresight as a programmable sequential placement game, with a 50,000 USD grand prize and participation restricted to .edu email holders.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Dexterity the way a machine reads it — 54 machine-readable artifacts across 4 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 — Dexterity scores 48.6/100 (developing), with a separate agent-readiness read of 39/100 (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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Dexterity
Each block below is one kind of artifact we hold for Dexterity. 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 4
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.
Dexterity Games API
Start, place boxes in, stop and query the status of packing games.
Dexterity Leaderboard API
Retrieve the public Foresight Packing Challenge leaderboard.
Dexterity Players API
List a player's games and update their public display name.
Dexterity System API
Service health and operational endpoints.
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Dexterity Foresight Packing Challenge API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Dexterity Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Dexterity Finops
FINOPSFeatures 7
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Foresight World Model
In-house world model trained on 100M+ autonomous actions for spatial reasoning, prediction, and dual-arm orchestration.
68+ Autonomous Skill Agents
Specialized agents including Packing, Motion, Actualization, Trajectory, and Force-Control coordinated in real time.
IRIS Hardware Abstraction Layer
Unified API enabling deployment of Physical AI across Kawasaki arms, HiWin motion components, and Dexterity-built mobile bases.
Mech Dual-Arm Robot
Roving superhumanoid robot with two arms designed for industrial logistics tasks.
Sub-400ms Decision Loop
End-to-end perception-to-action loop under 400ms in production environments.
Zero Safety Incidents
100M+ autonomous decisions in production with no reported safety incidents to date.
Foresight Packing Challenge API
Public, research-grade REST API exposing the bin-packing facet of Foresight with a public leaderboard and 50,000 USD prize.
Scroll within the panel for all 7 ·
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Dexterity Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Dexterity API Rules
SPECTRALDexterity API Rules
SPECTRALJSON Schema 5
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Box
JSON SCHEMAGame
JSON SCHEMALeaderboardEntry
JSON SCHEMAPlacedBox
JSON SCHEMATruckConfig
JSON SCHEMAJSON Structure 1
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Dexterity Foresight Game Structure
JSON STRUCTUREExamples 8
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Scroll within the panel for all 8 ·
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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 7
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Trailer Loading
Autonomous dual-arm loading of mixed-SKU boxes into truck trailers at the dock.
Trailer Unloading
Autonomous depalletization and unloading of inbound trailers.
Palletizing
Building stable pallets from heterogeneous case mixes.
Depalletizing
Breaking down pallets into individual cases for downstream handling.
Singulation
Separating items from bulk flow into a single, oriented stream for sortation.
Aircraft Loading and Unloading
Cargo loading and unloading for air freight operations.
Bin Packing Research
Academic and industry research into sequential 3D bin packing using the public Foresight Packing Challenge API.
Scroll within the panel for all 7 ·
Integrations 9
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Kawasaki Heavy Industries
Partnership producing intelligent industrial robot arms for warehouse applications.
HiWin
Precision motion control components integrated into Dexterity systems.
NVIDIA
GPU acceleration of Foresight via TensorRT and CUDA delivering a 17x speedup.
FedEx
Production deployment partner; Dexterity highlighted at FedEx Investor Day 2026.
Sagawa Express
Production logistics deployment in Japan via partnership with Sumitomo Corporation.
Sumitomo Corporation
Japan market partner and investor; led recent funding rounds.
UPS
Enterprise customer deploying Dexterity robots in production logistics operations.
Maersk
Global logistics customer running Dexterity systems.
VFC
Enterprise customer.
Scroll within the panel for all 9 ·
Solutions 4
Packaged solutions the provider offers on top of the raw API surface.
Packaged solutions this provider offers.
Logistics Automation
End-to-end automation of trailer-, pallet-, and case-handling tasks in warehouse and parcel operations.
Manufacturing Material Handling
Dual-arm material handling on the manufacturing floor.
Air Cargo Handling
Loading and unloading cargo for air freight workflows.
Research Access (Foresight Packing Challenge)
Free research access for academic teams to a slice of Foresight via a public REST API and competition.
Resources
Every other property we hold for Dexterity — 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 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Access & Security 1
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 5
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/dexterity · machine-readable index on apis.io