Quanergy

Quanergy Solutions, Inc. is a San Jose, California company that builds 3D LiDAR sensors and perception software for physical security, crowd management and industrial automation. Its Q-Track, Q-Shield, Q-Vision F540 and M-Series sensors feed QORTEX DTC, an on-premises detect-track-classify server that turns point clouds into anonymous person and vehicle tracks. QORTEX DTC publishes trackable, zone, counter-line and sensor-health streams over configurable TCP ports in protobuf, JSON, XML or NDJSON, and exposes a gRPC API on port 17177 so VMS, PSIM and access-control platforms — Milestone XProtect, Genetec Security Center, Bosch BVMS, Hanwha Wave, Motorola Unity and others — can consume real-time 3D object data.

Quanergy publishes 1 API on the APIs.io network. Tagged areas include Company, LiDAR, Sensors, Physical Security, and Perimeter Security.

The Quanergy catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Quanergy’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, YouTube channel, CLI, and 24 more developer resources.

🌐 Visit website 📡 Source on GitHub

39.8/100 developing ▬ flat Agent 17/100 agent aware Front door AI 3/6 light saas Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0

1 APIs

Company LiDAR Sensors Physical Security Perimeter Security PerceptionCrowd ManagementIndustrial Automation IoT gRPC Streaming Hardware

Kin Score

Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0

Composite quality — 39.8/100 · developing

Contract Quality 8.3 / 21

Developer Ergonomics 10.5 / 17

Access Clarity 4.9 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 6.2 / 9

Regulatory Posture 4.4 / 15

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 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 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 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

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/.

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/quanergy: 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 1

Individual APIs this provider publishes, each with its own machine-readable definition.

QORTEX DTC API

The QORTEX DTC API is the integration surface of Quanergy's detect-track-classify perception server. A gRPC service on port 17177 (Protocol Buffers 3) covers zone, counter-line,...

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Quanergy Qortex Dtc Events

ASYNCAPI

Security Posture 2

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

Quanergy Authentication

3 schemes

SECURITY

Quanergy Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

RequestDemo

RequestDemo

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

DataModel

Lifecycle

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Compliance

Compliance

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

TermsOfSale

TermsOfSale

Company 7

The organization behind the API

Website

Blog

Investors

Careers

PartnerProgram

LinkedIn

Twitter

Twitter

Scroll for all 7

Other 2

Properties that don't map to a standard resource type

CaseStudies

CaseStudies

EventCatalog

EventCatalog

Source (apis.yml)

aid: quanergy
name: Quanergy
description: Quanergy Solutions, Inc. is a San Jose, California company that builds 3D LiDAR sensors and perception software
  for physical security, crowd management and industrial automation. Its Q-Track, Q-Shield, Q-Vision F540 and M-Series sensors
  feed QORTEX DTC, an on-premises detect-track-classify server that turns point clouds into anonymous person and vehicle tracks.
  QORTEX DTC publishes trackable, zone, counter-line and sensor-health streams over configurable TCP ports in protobuf, JSON,
  XML or NDJSON, and exposes a gRPC API on port 17177 so VMS, PSIM and access-control platforms — Milestone XProtect, Genetec
  Security Center, Bosch BVMS, Hanwha Wave, Motorola Unity and others — can consume real-time 3D object data.
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:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://quanergy.com/wp-content/uploads/blue-logo-updated-with-300-x-95.png
url: https://raw.githubusercontent.com/api-evangelist/quanergy/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-source-url: https://forgeglobal.com/quanergy_stock/
specificationVersion: '0.23'
created: '2026-08-05'
modified: '2026-08-05'
tags:
- Company
- LiDAR
- Sensors
- Physical Security
- Perimeter Security
- Perception
- Crowd Management
- Industrial Automation
- IoT
- gRPC
- Streaming
- Hardware
tags_raw:
- Company
- LiDAR
- Sensors
- Physical Security
- Perimeter Security
- Perception
- Crowd Management
- Industrial Automation
- Internet of Things
- gRPC
- Streaming
- Hardware
apis:
- name: QORTEX DTC API
  description: The QORTEX DTC API is the integration surface of Quanergy's detect-track-classify perception server. A gRPC
    service on port 17177 (Protocol Buffers 3) covers zone, counter-line, rule, PTZ camera, settings, recording, playback,
    state and file-streaming operations, gated by a stateful SwitchToConfigMode stream. Alongside it, configurable TCP publishers
    fan out the trackable list, zone list, counter-line counts, point cloud and sensor-health state, and a small HTTP command
    server on port 8080 handles HTTP Digest authentication and AES-256 key issue. The server is customer-hosted on Ubuntu,
    Windows, a VM or Docker; there is no Quanergy-operated endpoint.
  humanURL: https://quanergy.com/products/q-track/
  baseURL: https://<IP_Address>:8080/v1
  x-deployment: on-premises
  x-baseurl-note: Quanergy operates no hosted endpoint. The value above is the URL form published verbatim on page 92 of the
    QORTEX DTC for Q-Track API Reference; the host is the customer's own QORTEX DTC server. The gRPC surface is reached at
    <IP_Address>:17177.
  x-transports:
  - protocol: grpc
    port: 17177
  - protocol: http
    port: 8080
    base_path: /v1
  - protocol: tcp
    ports:
    - 17161
    - 17163
    - 17168
    - 17172
    - 17173
    - 17175
    - 17176
    - 17178
  tags:
  - LiDAR
  - Perception
  - Physical Security
  - gRPC
  - Streaming
  properties:
  - type: APIReference
    url: https://downloads.quanergy.com/qortex/Qortex-API-Reference-RevA-120824.pdf
  - type: Documentation
    url: https://downloads.quanergy.com/qortex/Qortex-UserGuide-RevP-120824.pdf
  - type: GettingStarted
    url: https://downloads.quanergy.com/qortex/QPN-96-00131-Quick%20Start%20Card%20%E2%80%93%20Q-Track%20-%20Rev%20A.pdf
  - type: Authentication
    url: authentication/quanergy-authentication.yml
  - type: Conventions
    url: conventions/quanergy-conventions.yml
  - type: ErrorCatalog
    url: errors/quanergy-problem-types.yml
  - type: DataModel
    url: data-model/quanergy-data-model.yml
  - type: EventCatalog
    url: asyncapi/quanergy-qortex-dtc-events.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/quanergy-domain-security.yml
- type: Website
  url: https://quanergy.com/
- type: Documentation
  url: https://quanergy.com/resources/documentation/
- type: APIReference
  url: https://downloads.quanergy.com/qortex/Qortex-API-Reference-RevA-120824.pdf
- type: GettingStarted
  url: https://downloads.quanergy.com/qortex/QPN-96-00131-Quick%20Start%20Card%20%E2%80%93%20Q-Track%20-%20Rev%20A.pdf
- type: Support
  url: https://quanergy.com/about/contact/
- type: Blog
  url: https://quanergy.com/blog/
- type: GitHubOrganization
  url: https://github.com/QuanergySystems
- type: PrivacyPolicy
  url: https://quanergy.com/privacy-policy/
- type: TermsOfService
  url: https://quanergy.com/terms-of-use/
- type: TermsOfSale
  url: https://quanergy.com/terms-of-sale/
- type: CaseStudies
  url: https://quanergy.com/resources/case-studies/
- type: Investors
  url: https://quanergy.com/about/investors/
- type: Careers
  url: https://quanergy.com/about/careers/
- type: RequestDemo
  url: https://quanergy.com/about/request-a-demo/
- type: PartnerProgram
  url: https://quanergy.com/channel-partners/
- type: LinkedIn
  url: https://www.linkedin.com/company/quanergy/
- type: YouTube
  url: https://www.youtube.com/channel/UCczCM_jVyZk-19_iUuQq_9g
- type: Twitter
  url: https://twitter.com/quanergy
- type: LLMsTxt
  url: llms/quanergy-llms.txt
- type: Packages
  url: packages/quanergy-packages.yml
- type: SDKs
  url: packages/quanergy-packages.yml
- type: CLI
  url: cli/quanergy-cli.yml
- type: Authentication
  url: authentication/quanergy-authentication.yml
- type: Conventions
  url: conventions/quanergy-conventions.yml
- type: ErrorCatalog
  url: errors/quanergy-problem-types.yml
- type: DataModel
  url: data-model/quanergy-data-model.yml
- type: Lifecycle
  url: lifecycle/quanergy-lifecycle.yml
- type: Conformance
  url: conformance/quanergy-conformance.yml
- type: Compliance
  url: conformance/quanergy-conformance.yml
- type: EventCatalog
  url: asyncapi/quanergy-qortex-dtc-events.yml
x-enrichment:
  date: '2026-08-05'
  status: enriched
  artifacts_added: 12
  pass: local-v1

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