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.

Dexterity publishes 4 APIs on the APIs.io network, including Games API, Leaderboard API, Players API, and 1 more. Tagged areas include Physical AI, Industrial Robotics, Robotics, Warehouse Automation, and Logistics.

The Dexterity catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Dexterity’s developer surface includes engineering blog and 18 more developer resources.

🌐 Visit website 📡 Source on GitHub

46.0/100 developing ▬ flat Agent 27/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessEnterprise

1 APIs 7 Features 7 Use Cases

Physical AI Industrial Robotics Robotics Warehouse Automation Logistics ManufacturingWorld ModelForesightMechDual-ArmTruck LoadingPalletizingDepalletizingSingulationResearch APIPacking Challenge

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 46.0/100 · developing

Contract Quality 14.2 / 23

Developer Ergonomics 7.7 / 18

Access Clarity 7.1 / 18

Operational Transparency 3.7 / 12

Contract Governance 3.1 / 11

Discoverability 6.2 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/dexterity: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 4

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 6

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Dexterity Foresight Packing Challenge API

OPEN COLLECTION

Dexterity Foresight Packing Challenge Games API

OPEN COLLECTION

Dexterity Foresight Packing Challenge Games Leaderboard API

OPEN COLLECTION

Dexterity Foresight Packing Challenge Games Players API

OPEN COLLECTION

Dexterity Foresight Packing Challenge Games System API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Dexterity Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Dexterity Rate Limits

3 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Dexterity Finops

FINOPS

Features 7

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 for all 7

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Dexterity Context

36 classes · 2 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Dexterity API Rules

5 rules · 4 warnings 1 info

SPECTRAL

Dexterity API Rules

8 rules · 4 errors 3 warnings 1 info

SPECTRAL

JSON Schema 5

Standalone JSON Schema definitions for this provider's data models.

Box

3 properties

JSON SCHEMA

Game

9 properties

JSON SCHEMA

LeaderboardEntry

6 properties

JSON SCHEMA

PlacedBox

4 properties

JSON SCHEMA

TruckConfig

3 properties

JSON SCHEMA

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Dexterity Foresight Game Structure

0 properties

JSON STRUCTURE

Examples 8

Example request and response payloads for these APIs.

Dexterity Foresight Display Name Example

2 fields

EXAMPLE

Dexterity Foresight Get Status Example

2 fields

EXAMPLE

Dexterity Foresight Health Example

2 fields

EXAMPLE

Dexterity Foresight Leaderboard Example

2 fields

EXAMPLE

Dexterity Foresight My Games Example

2 fields

EXAMPLE

Dexterity Foresight Place Box Example

2 fields

EXAMPLE

Dexterity Foresight Start Game Example

2 fields

EXAMPLE

Dexterity Foresight Stop Game Example

2 fields

EXAMPLE

Scroll for all 8

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Dexterity Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Dexterity Agentic Access

8 operations · 4 acting · 1 human-in-the-loop

8 operations · 4 acting

AGENTIC

Use Cases 7

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 for all 7

Integrations 9

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 for all 9

Solutions 4

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

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

JSONLD

JSONLD

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Contact

Contact

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

Plans

Plans

FinOps

FinOps

Company 4

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Other 5

Properties that don't map to a standard resource type

Platform

Foresight

Mech

Challenge

TruckLoadingGame

Source (apis.yml)

aid: dexterity
name: Dexterity
description: 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.
type: Index
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/dexterity.png
tags:
- Physical AI
- Industrial Robotics
- Robotics
- Warehouse Automation
- Logistics
- Manufacturing
- World Model
- Foresight
- Mech
- Dual-Arm
- Truck Loading
- Palletizing
- Depalletizing
- Singulation
- Research API
- Packing Challenge
url: https://raw.githubusercontent.com/api-evangelist/dexterity/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis:
- aid: dexterity:dexterity-games-api
  name: Dexterity Games API
  description: Start, place boxes in, stop and query the status of packing games.
  humanURL: https://dexterity.ai/challenge
  baseURL: https://dexterity.ai/challenge/api
  tags:
  - Games
  properties:
  - type: OpenAPI
    url: openapi/dexterity-games-api-openapi.yml
  - type: Documentation
    url: https://dexterity.ai/challenge
  - type: APIReference
    url: https://dexterity.ai/challenge/api/docs
  - type: GettingStarted
    url: https://dexterity.ai/play
  - type: Authentication
    url: https://dexterity.ai/challenge
  - type: JSONSchema
    url: json-schema/dexterity-foresight-game-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-placed-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-truck-config-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-leaderboard-entry-schema.json
  - type: JSONStructure
    url: json-structure/dexterity-foresight-game-structure.json
  - type: Examples
    url: examples/dexterity-foresight-start-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-place-box-example.json
  - type: Examples
    url: examples/dexterity-foresight-stop-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-get-status-example.json
  - type: Examples
    url: examples/dexterity-foresight-my-games-example.json
  - type: Examples
    url: examples/dexterity-foresight-display-name-example.json
  - type: Examples
    url: examples/dexterity-foresight-leaderboard-example.json
  - type: Examples
    url: examples/dexterity-foresight-health-example.json
- aid: dexterity:dexterity-leaderboard-api
  name: Dexterity Leaderboard API
  description: Retrieve the public Foresight Packing Challenge leaderboard.
  humanURL: https://dexterity.ai/challenge
  baseURL: https://dexterity.ai/challenge/api
  tags:
  - Leaderboard
  properties:
  - type: OpenAPI
    url: openapi/dexterity-leaderboard-api-openapi.yml
  - type: Documentation
    url: https://dexterity.ai/challenge
  - type: APIReference
    url: https://dexterity.ai/challenge/api/docs
  - type: GettingStarted
    url: https://dexterity.ai/play
  - type: Authentication
    url: https://dexterity.ai/challenge
  - type: JSONSchema
    url: json-schema/dexterity-foresight-game-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-placed-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-truck-config-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-leaderboard-entry-schema.json
  - type: JSONStructure
    url: json-structure/dexterity-foresight-game-structure.json
  - type: Examples
    url: examples/dexterity-foresight-start-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-place-box-example.json
  - type: Examples
    url: examples/dexterity-foresight-stop-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-get-status-example.json
  - type: Examples
    url: examples/dexterity-foresight-my-games-example.json
  - type: Examples
    url: examples/dexterity-foresight-display-name-example.json
  - type: Examples
    url: examples/dexterity-foresight-leaderboard-example.json
  - type: Examples
    url: examples/dexterity-foresight-health-example.json
- aid: dexterity:dexterity-players-api
  name: Dexterity Players API
  description: List a player's games and update their public display name.
  humanURL: https://dexterity.ai/challenge
  baseURL: https://dexterity.ai/challenge/api
  tags:
  - Players
  properties:
  - type: OpenAPI
    url: openapi/dexterity-players-api-openapi.yml
  - type: Documentation
    url: https://dexterity.ai/challenge
  - type: APIReference
    url: https://dexterity.ai/challenge/api/docs
  - type: GettingStarted
    url: https://dexterity.ai/play
  - type: Authentication
    url: https://dexterity.ai/challenge
  - type: JSONSchema
    url: json-schema/dexterity-foresight-game-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-placed-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-truck-config-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-leaderboard-entry-schema.json
  - type: JSONStructure
    url: json-structure/dexterity-foresight-game-structure.json
  - type: Examples
    url: examples/dexterity-foresight-start-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-place-box-example.json
  - type: Examples
    url: examples/dexterity-foresight-stop-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-get-status-example.json
  - type: Examples
    url: examples/dexterity-foresight-my-games-example.json
  - type: Examples
    url: examples/dexterity-foresight-display-name-example.json
  - type: Examples
    url: examples/dexterity-foresight-leaderboard-example.json
  - type: Examples
    url: examples/dexterity-foresight-health-example.json
- aid: dexterity:dexterity-system-api
  name: Dexterity System API
  description: Service health and operational endpoints.
  humanURL: https://dexterity.ai/challenge
  baseURL: https://dexterity.ai/challenge/api
  tags:
  - System
  properties:
  - type: OpenAPI
    url: openapi/dexterity-system-api-openapi.yml
  - type: Documentation
    url: https://dexterity.ai/challenge
  - type: APIReference
    url: https://dexterity.ai/challenge/api/docs
  - type: GettingStarted
    url: https://dexterity.ai/play
  - type: Authentication
    url: https://dexterity.ai/challenge
  - type: JSONSchema
    url: json-schema/dexterity-foresight-game-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-placed-box-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-truck-config-schema.json
  - type: JSONSchema
    url: json-schema/dexterity-foresight-leaderboard-entry-schema.json
  - type: JSONStructure
    url: json-structure/dexterity-foresight-game-structure.json
  - type: Examples
    url: examples/dexterity-foresight-start-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-place-box-example.json
  - type: Examples
    url: examples/dexterity-foresight-stop-game-example.json
  - type: Examples
    url: examples/dexterity-foresight-get-status-example.json
  - type: Examples
    url: examples/dexterity-foresight-my-games-example.json
  - type: Examples
    url: examples/dexterity-foresight-display-name-example.json
  - type: Examples
    url: examples/dexterity-foresight-leaderboard-example.json
  - type: Examples
    url: examples/dexterity-foresight-health-example.json
common:
- type: AgenticAccess
  url: agentic-access/dexterity-agentic-access.yml
- type: DomainSecurity
  url: security/dexterity-domain-security.yml
- type: Website
  url: https://www.dexterity.ai
- type: Platform
  url: https://www.dexterity.ai/platform
- type: Foresight
  url: https://www.dexterity.ai/blog/foresight
- type: Mech
  url: https://www.dexterity.ai/platform
- type: Challenge
  url: https://dexterity.ai/challenge
- type: TruckLoadingGame
  url: https://dexterity.ai/play
- type: About
  url: https://www.dexterity.ai/about
- type: Blog
  url: https://www.dexterity.ai/blog
- type: Contact
  url: https://www.dexterity.ai/contact
- type: TermsOfService
  url: https://dexterity.ai/terms-conditions
- type: LinkedIn
  url: https://www.linkedin.com/company/dexterityinc
- type: SpectralRules
  url: rules/dexterity-rules.yml
- type: Vocabulary
  url: vocabulary/dexterity-vocabulary.yml
- type: JSONLD
  url: json-ld/dexterity-context.jsonld
- type: Plans
  url: plans/dexterity-plans-pricing.yml
- type: RateLimits
  url: rate-limits/dexterity-rate-limits.yml
- type: FinOps
  url: finops/dexterity-finops.yml
- type: Features
  data:
  - name: Foresight World Model
    description: In-house world model trained on 100M+ autonomous actions for spatial reasoning, prediction, and dual-arm
      orchestration.
  - name: 68+ Autonomous Skill Agents
    description: Specialized agents including Packing, Motion, Actualization, Trajectory, and Force-Control coordinated in
      real time.
  - name: IRIS Hardware Abstraction Layer
    description: Unified API enabling deployment of Physical AI across Kawasaki arms, HiWin motion components, and Dexterity-built
      mobile bases.
  - name: Mech Dual-Arm Robot
    description: Roving superhumanoid robot with two arms designed for industrial logistics tasks.
  - name: Sub-400ms Decision Loop
    description: End-to-end perception-to-action loop under 400ms in production environments.
  - name: Zero Safety Incidents
    description: 100M+ autonomous decisions in production with no reported safety incidents to date.
  - name: Foresight Packing Challenge API
    description: Public, research-grade REST API exposing the bin-packing facet of Foresight with a public leaderboard and
      50,000 USD prize.
- type: UseCases
  data:
  - name: Trailer Loading
    description: Autonomous dual-arm loading of mixed-SKU boxes into truck trailers at the dock.
  - name: Trailer Unloading
    description: Autonomous depalletization and unloading of inbound trailers.
  - name: Palletizing
    description: Building stable pallets from heterogeneous case mixes.
  - name: Depalletizing
    description: Breaking down pallets into individual cases for downstream handling.
  - name: Singulation
    description: Separating items from bulk flow into a single, oriented stream for sortation.
  - name: Aircraft Loading and Unloading
    description: Cargo loading and unloading for air freight operations.
  - name: Bin Packing Research
    description: Academic and industry research into sequential 3D bin packing using the public Foresight Packing Challenge
      API.
- type: Integrations
  data:
  - name: Kawasaki Heavy Industries
    description: Partnership producing intelligent industrial robot arms for warehouse applications.
  - name: HiWin
    description: Precision motion control components integrated into Dexterity systems.
  - name: NVIDIA
    description: GPU acceleration of Foresight via TensorRT and CUDA delivering a 17x speedup.
  - name: FedEx
    description: Production deployment partner; Dexterity highlighted at FedEx Investor Day 2026.
  - name: Sagawa Express
    description: Production logistics deployment in Japan via partnership with Sumitomo Corporation.
  - name: Sumitomo Corporation
    description: Japan market partner and investor; led recent funding rounds.
  - name: UPS
    description: Enterprise customer deploying Dexterity robots in production logistics operations.
  - name: Maersk
    description: Global logistics customer running Dexterity systems.
  - name: VFC
    description: Enterprise customer.
- type: Solutions
  data:
  - name: Logistics Automation
    description: End-to-end automation of trailer-, pallet-, and case-handling tasks in warehouse and parcel operations.
  - name: Manufacturing Material Handling
    description: Dual-arm material handling on the manufacturing floor.
  - name: Air Cargo Handling
    description: Loading and unloading cargo for air freight workflows.
  - name: Research Access (Foresight Packing Challenge)
    description: Free research access for academic teams to a slice of Foresight via a public REST API and competition.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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