Anjuna

Anjuna Security provides a confidential-computing platform that lets organizations run existing applications inside hardware-based secure enclaves (Trusted Execution Environments) across AWS Nitro, AMD SEV, and Intel SGX without code changes, keeping data encrypted at rest, in transit, and in use. Its Seaglass platform, Policy Manager, Overwatch agentic-AI governance, and Northstar AI data clean room deliver hardware-rooted cryptographic attestation and policy-based access control for sensitive workloads and privacy-preserving AI. Anjuna is delivered as command-line runtime tooling and open-source attestation libraries rather than a public HTTP API.

Anjuna is profiled on the APIs.io network. Tagged areas include Company, Confidential Computing, Security, Cloud, and Encryption.

Anjuna’s developer surface includes documentation, getting-started guide, engineering blog, support, changelog, CLI, and 7 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

15.9/100 emerging ▬ flat Agent 9/100 agent aware Front door AI 6/6 dominant library Full breakdown ↓
scored 2026-10-17 · rubric v0.24.0

0 APIs 1 MCP Servers

Company Confidential Computing Security Cloud Encryption Trusted Execution Environment Attestation AI Governance

Kin Score

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

Composite quality — 15.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 7.7 / 17

Access Clarity 0.0 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 0.9 / 15

Agent readiness — 9/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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/anjuna: 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
PKI and Encryption (certificate authorities, key management)	distribution	19.2 (thin)	-	-

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.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Anjuna MCP Server

Remote MCP server at docs.anjuna.io over HTTP; 2 tools listed.

MCP SERVER

Security Posture 1

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

Anjuna Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

CLI

CLI

Packages

Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: anjuna
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - none
  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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/anjuna.png
name: Anjuna
description: Anjuna Security provides a confidential-computing platform that lets organizations run existing applications
  inside hardware-based secure enclaves (Trusted Execution Environments) across AWS Nitro, AMD SEV, and Intel SGX without
  code changes, keeping data encrypted at rest, in transit, and in use. Its Seaglass platform, Policy Manager, Overwatch agentic-AI
  governance, and Northstar AI data clean room deliver hardware-rooted cryptographic attestation and policy-based access control
  for sensitive workloads and privacy-preserving AI. Anjuna is delivered as command-line runtime tooling and open-source attestation
  libraries rather than a public HTTP API.
url: https://raw.githubusercontent.com/api-evangelist/anjuna/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcvc
- insight-partners
- kindred-ventures
- playground-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Confidential Computing
- Security
- Cloud
- Encryption
- Trusted Execution Environment
- Attestation
- AI Governance
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.anjuna.io/
- type: DeveloperPortal
  url: https://docs.anjuna.io/
- type: Documentation
  url: https://docs.anjuna.io/
- type: GettingStarted
  url: https://docs.anjuna.io/latest/nitro/latest/getting_started/first_steps.html
- type: Blog
  url: https://www.anjuna.io/blog
- type: Support
  url: https://support.anjuna.io/
- type: GitHubOrganization
  url: https://github.com/anjuna-security
- type: ChangeLog
  url: https://docs.anjuna.io/latest/release-notes/index.html
- type: CLI
  url: cli/anjuna-cli.yml
- type: Packages
  url: packages/anjuna-packages.yml
- type: LLMsTxt
  url: llms/anjuna-llms.txt
- type: WellKnown
  url: well-known/anjuna-well-known.yml
- type: DomainSecurity
  url: security/anjuna-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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