Motional

Motional is a Boston-headquartered autonomous-vehicle company formed as a joint venture between Hyundai Motor Group and Aptiv. Its core product is an all-electric IONIQ 5 robotaxi built on a Hyundai E-GMP platform with Motional's full Level 4 autonomous driving stack and a sensor suite including lidar, radar, and cameras. Motional operates commercial robotaxi service in Las Vegas in partnership with Uber, Uber Eats, and Lyft, with additional operations in Boston, Pittsburgh, Santa Monica, Singapore, and Seoul. The company's most influential developer artifact is nuScenes, the open large-scale multimodal autonomous-driving dataset originally released by nuTonomy (a Motional predecessor), now a de facto benchmark for 3D perception research. Motional also publishes the nuscenes-devkit Python library and AVCDL cybersecurity development lifecycle materials on GitHub. Motional does not publish a traditional public developer API; the developer surface is research-dataset access plus open-source devkits.

Motional is profiled on the APIs.io network. Tagged areas include Autonomous Vehicles, Robotaxi, Self-Driving, Hyundai, and Aptiv.

Motional’s developer surface includes product news, engineering blog, YouTube channel, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub

14.3/100 emerging ▬ flat Agent 3/100 human only Front door AI 3/6 light Full breakdown ↓
scored 2026-09-19 · rubric v0.22.0

AccessFree

0 APIs

Autonomous Vehicles Robotaxi Self-Driving HyundaiAptivOpen DatasetnuScenesLiDAR

Kin Score

Kin Score How this is scored →
scored 2026-09-19 · rubric v0.22.0

Composite quality — 14.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 0.5 / 20

Access Clarity 5.8 / 20

Operational Transparency 3.1 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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 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 could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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/motional: 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 →

Pricing Plans 1

Published pricing tiers and plan structures.

Motional Plans Pricing

1 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Motional Rate Limits

2 limits

RATE LIMITS

FinOps 1

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

Motional Finops

FINOPS

Security Posture 2

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

Motional Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Motional Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 1

Status, limits, changes, and where to get help

Contact

Contact

Company 9

The organization behind the API

Website

AboutUs

Newsroom

News

Blog

PressKit

Careers

LinkedIn

Twitter

Twitter

Scroll for all 9

Other 6

Properties that don't map to a standard resource type

TechnicallySpeaking

Safety

Technology

Vehicles

OpenDataset

ProductPage

Source (apis.yml)

aid: motional
name: Motional
description: Motional is a Boston-headquartered autonomous-vehicle company formed as a joint venture between Hyundai Motor
  Group and Aptiv. Its core product is an all-electric IONIQ 5 robotaxi built on a Hyundai E-GMP platform with Motional's
  full Level 4 autonomous driving stack and a sensor suite including lidar, radar, and cameras. Motional operates commercial
  robotaxi service in Las Vegas in partnership with Uber, Uber Eats, and Lyft, with additional operations in Boston, Pittsburgh,
  Santa Monica, Singapore, and Seoul. The company's most influential developer artifact is nuScenes, the open large-scale
  multimodal autonomous-driving dataset originally released by nuTonomy (a Motional predecessor), now a de facto benchmark
  for 3D perception research. Motional also publishes the nuscenes-devkit Python library and AVCDL cybersecurity development
  lifecycle materials on GitHub. Motional does not publish a traditional public developer API; the developer surface is research-dataset
  access plus open-source devkits.
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/motional.png
access: 3rd-Party
created: '2026-05-23'
modified: '2026-07-25'
position: Consuming
tags:
- Autonomous Vehicles
- Robotaxi
- Self-Driving
- Hyundai
- Aptiv
- Open Dataset
- nuScenes
- LiDAR
tags_raw:
- Autonomous Vehicles
- Robotaxi
- Self-Driving
- Hyundai
- Aptiv
- Open Dataset
- nuScenes
- Lidar
url: https://raw.githubusercontent.com/api-evangelist/motional/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis: []
common:
- type: VulnerabilityDisclosure
  url: security/motional-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/motional-domain-security.yml
- type: Website
  url: https://motional.com
- type: AboutUs
  url: https://motional.com/about
- type: Newsroom
  url: https://motional.com/newsroom
- type: News
  url: https://motional.com/news
- url: https://motional.com/news
  type: Blog
- type: TechnicallySpeaking
  url: https://motional.com/technicallyspeaking
- type: PressKit
  url: https://motional.com/press-kit
- type: Safety
  url: https://motional.com/safety
- type: Technology
  url: https://motional.com/technology
- type: Vehicles
  url: https://motional.com/vehicles
- type: OpenDataset
  url: https://www.nuscenes.org
- type: GitHubOrganization
  url: https://github.com/nutonomy
- type: Careers
  url: https://motional.com/careers
- type: Contact
  url: https://motional.com/contact
- type: LinkedIn
  url: https://www.linkedin.com/company/motional
- type: Twitter
  url: https://twitter.com/motionaldrive
- type: YouTube
  url: https://www.youtube.com/@MotionalDrive
- type: ProductPage
  url: https://github.com/nutonomy/AVCDL
integrations:
- name: Uber
- name: Uber Eats
- name: Lyft
- name: Hyundai
- name: Aptiv
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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