Aeva

Aeva Technologies is a Mountain View, California sensing and perception company that builds 4D LiDAR based on proprietary Frequency Modulated Continuous Wave (FMCW) technology, measuring instant velocity in addition to 3D position for every point in a scene. Its product line spans Atlas and Atlas Ultra long-range automotive-grade sensors, the Omni wide-view short-range sensor, and Eve 1 precision laser speed sensors for factory automation, serving autonomous vehicles, robotics, industrial automation, security, and physical-AI markets. Aeva is a hardware and perception-software provider rather than a web-API company: its developer surface is open-source software on the aevainc GitHub org (the AevaScenes Python SDK and Doppler ICP), the AevaScenes dataset, and product SDK/EULA-gated software delivered with its sensors. No public REST or web API is published.

Aeva is profiled on the APIs.io network. Tagged areas include Company, LiDAR, 4D LiDAR, FMCW, and Autonomous Vehicles.

Aeva’s developer surface includes developer portal, engineering blog, support, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

14.3/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company LiDAR4D LiDARFMCWAutonomous Vehicles Robotics Perception Sensors Industrial Automation Physical AI

Kin Score

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

Composite quality — 14.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Access Clarity 4.2 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · 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 0 / 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.

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Security Posture 1

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

Aeva Domain Security

TLSv1.2

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: aeva
name: Aeva
description: 'Aeva Technologies is a Mountain View, California sensing and perception company that builds 4D LiDAR based on
  proprietary Frequency Modulated Continuous Wave (FMCW) technology, measuring instant velocity in addition to 3D position
  for every point in a scene. Its product line spans Atlas and Atlas Ultra long-range automotive-grade sensors, the Omni wide-view
  short-range sensor, and Eve 1 precision laser speed sensors for factory automation, serving autonomous vehicles, robotics,
  industrial automation, security, and physical-AI markets. Aeva is a hardware and perception-software provider rather than
  a web-API company: its developer surface is open-source software on the aevainc GitHub org (the AevaScenes Python SDK and
  Doppler ICP), the AevaScenes dataset, and product SDK/EULA-gated software delivered with its sensors. No public REST or
  web API is published.'
url: https://raw.githubusercontent.com/api-evangelist/aeva/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://www.aeva.com/app/themes/aeva-2023/images/favicon/ms-icon-144x144.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- canaan-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- LiDAR
- 4D LiDAR
- FMCW
- Autonomous Vehicles
- Robotics
- Perception
- Sensors
- Industrial Automation
- Physical AI
apis: []
common:
- type: DomainSecurity
  url: security/aeva-domain-security.yml
- type: Website
  url: https://www.aeva.com/
- type: Portal
  name: Developer Resources
  url: https://resources.aeva.com/
- type: GitHubOrganization
  url: https://github.com/aevainc
- type: Blog
  name: News & Media
  url: https://www.aeva.com/news/
- type: Support
  name: Contact Us
  url: https://www.aeva.com/contact-us/
- type: PrivacyPolicy
  url: https://www.aeva.com/privacy-policy/
- type: TermsOfService
  name: Terms & Conditions
  url: https://www.aeva.com/terms-conditions/
- type: Packages
  name: Open-source software packages
  url: packages/aeva-packages.yml
- type: SDKs
  name: AevaScenes Python SDK
  url: packages/aeva-packages.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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