Vake

VAKE is a Norwegian maritime domain awareness company that detects, identifies, and tracks "dark vessels" from space. The VAKE platform fuses satellite imagery, AIS signals, and machine learning to reveal hidden vessel activity at sea for governments and industry. Its three products are Pathfinder, which reconstructs a vessel's past, present, and predicted movements and searches satellite imagery for vessels that go AIS-dark; Overwatch, which monitors an Area of Interest around ports, critical infrastructure, and economic zones to surface unreported activity such as illegal fishing, transshipments, and spoofing; and Clearview, a machine-learning service that identifies dark-vessel observations in multispectral satellite imagery against a global vessel-signature database spanning 2016 to today. The platform is delivered as a web application (studio.vake.ai) backed by a private API (api.nemme.io); onboarding is sales-led rather than self-serve.

Vake is profiled on the APIs.io network. Tagged areas include Company, Maritime, Maritime Domain Awareness, Satellite Imagery, and Vessel Tracking.

Vake’s developer surface includes documentation, getting-started guide, support, and 5 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

8.8/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-10-17 · rubric v0.24.0

0 APIs

Company Maritime Maritime Domain Awareness Satellite Imagery Vessel Tracking AIS Geospatial Machine LearningDark VesselsDefense Situational Awareness

Kin Score

Kin Score How this is scored →
scored 2026-10-17 · rubric v0.24.0

Composite quality — 8.8/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 1.1 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.8 / 15

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

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/vake: 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 →

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
Maritime Logistics (ocean shipping, eBL, ports)	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.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

AIS

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Security Posture 1

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

Vake Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

aid: vake
name: Vake
description: VAKE is a Norwegian maritime domain awareness company that detects, identifies, and tracks "dark vessels" from
  space. The VAKE platform fuses satellite imagery, AIS signals, and machine learning to reveal hidden vessel activity at
  sea for governments and industry. Its three products are Pathfinder, which reconstructs a vessel's past, present, and predicted
  movements and searches satellite imagery for vessels that go AIS-dark; Overwatch, which monitors an Area of Interest around
  ports, critical infrastructure, and economic zones to surface unreported activity such as illegal fishing, transshipments,
  and spoofing; and Clearview, a machine-learning service that identifies dark-vessel observations in multispectral satellite
  imagery against a global vessel-signature database spanning 2016 to today. The platform is delivered as a web application
  (studio.vake.ai) backed by a private API (api.nemme.io); onboarding is sales-led rather than self-serve.
url: https://raw.githubusercontent.com/api-evangelist/vake/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
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
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://docs.vake.ai/img/vake_boxed_logo.jpg
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
tags:
- Company
- Maritime
- Maritime Domain Awareness
- Satellite Imagery
- Vessel Tracking
- AIS
- Geospatial
- Machine Learning
- Dark Vessels
- Defense
- Situational Awareness
tags_raw:
- Company
- Maritime
- Maritime Domain Awareness
- Satellite Imagery
- Vessel Tracking
- AIS
- Geospatial
- Machine Learning
- Dark Vessels
- Defense
- Situational Awareness
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/vake-domain-security.yml
- type: Website
  url: https://vake.ai/
- type: Documentation
  url: https://docs.vake.ai/
- type: GettingStarted
  url: https://docs.vake.ai/Getting%20started/start-guide
- type: Login
  url: https://studio.vake.ai/
- type: Support
  url: https://docs.vake.ai/The%20Home%20Page/Support%20and%20Feedback
- type: LinkedIn
  url: https://www.linkedin.com/company/vake-ai/
- type: LLMsTxt
  url: llms/vake-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 2
  pass: local-v1

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