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 20 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

8.8/100 minimal ▬ flat Agent 1/100 human only Front door AI 3/6 light Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

AccessFree

0 APIs

Autonomous Vehicles Robotaxi Self-Driving HyundaiAptivOpen DatasetnuScenesLiDAR

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 8.8/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 0.9 / 17

Operational Transparency 2.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 1/100 · 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

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 2.4 — up to +19.5 composite points
Access Clarity scores 5.3 — up to +18.9 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/motional/apis.yml: open an issue on github.com/api-evangelist/motional to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Autonomous Vehicles (self-driving testing, deployment, robotaxi service)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

Contact

Contact

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

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: Plans
  url: plans/motional-plans-pricing.yml
- type: RateLimits
  url: rate-limits/motional-rate-limits.yml
- type: FinOps
  url: finops/motional-finops.yml
- 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

Motional API — frequently asked questions

How much does the Motional API cost?

APIs.io lists 1 pricing plan for Motional, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the Motional API ready for AI agents?

Motional has a Kin Score of 8.8 out of 100 (minimal) and an Agent Readiness score of 0.6 (human-only), scored by API Evangelist on 2026-10-31.

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