Trust3 AI

Trust3 AI is the agent-first trust layer for the enterprise, founded by the creators of Apache Ranger and Apache Atlas (the team behind Privacera). The platform discovers every AI agent running across platforms like Databricks and Microsoft Copilot Studio, scores each one with a 1.0-10.0 Trust Score, evaluates agents against policy packs for NERC CIP, the EU AI Act, FERC, and internal AI governance, and gates new agents through structured approval workflows - with MCP and A2A protocol-layer security and the GIA governance assistant built in. Programmatic access uses scoped API keys: AI Assets Collectors authenticate to the Trust3 API server with a Trust3 API key, and external AI clients connect to the hosted MCP server at api.na.trust3ai.com/mcp with an MCP (read) scoped key. Backed by Insight Partners, Sapphire Ventures, Battery Ventures, Accel, Cervin Ventures, and Point72 Ventures ($63.5M raised).

Trust3 AI is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Governance, AI Agents, and Agent Security.

Trust3 AI’s developer surface includes documentation, getting-started guide, engineering blog, FAQ, support, authentication, changelog, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

32.1/100 thin ▬ flat Agent 11/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers

Company Artificial Intelligence AI Governance AI Agents Agent Security MCP Security Data Governance Compliance Observability Access Control

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 32.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 8.1 / 17

Access Clarity 7.4 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 11/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

11 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
Access Clarity scores 43.4 — up to +11.3 composite points
Operational Transparency scores 18.4 — up to +10.6 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/trust3-ai/apis.yml: open an issue on github.com/api-evangelist/trust3-ai 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 →

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

APIs 1

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

Trust3 AI Governance API

The Trust3 API server is the public AI Governance API edge of the Trust3 control plane. AI Assets Collectors running in the customer data plane authenticate every request with a...

MCP Servers 1

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

Trust3 AI MCP Server

Remote MCP server at api.na.trust3ai.com over HTTP.

MCP SERVER

Security Posture 3

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

Trust3 Ai Authentication

apiKey · 3 schemes

SECURITY

Trust3 Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Trust3 Ai Trust Center

SOC 2 Type II

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 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Conformance

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 4

Authentication, authorization, and security posture

Authentication

Compliance

TrustCenter

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

FAQ

FAQ

Support

Support

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

BlogRSS

BlogRSS

Source (apis.yml)

aid: trust3-ai
name: Trust3 AI
description: 'Trust3 AI is the agent-first trust layer for the enterprise, founded by the creators of Apache Ranger and Apache
  Atlas (the team behind Privacera). The platform discovers every AI agent running across platforms like Databricks and Microsoft
  Copilot Studio, scores each one with a 1.0-10.0 Trust Score, evaluates agents against policy packs for NERC CIP, the EU
  AI Act, FERC, and internal AI governance, and gates new agents through structured approval workflows - with MCP and A2A
  protocol-layer security and the GIA governance assistant built in. Programmatic access uses scoped API keys: AI Assets Collectors
  authenticate to the Trust3 API server with a Trust3 API key, and external AI clients connect to the hosted MCP server at
  api.na.trust3ai.com/mcp with an MCP (read) scoped key. Backed by Insight Partners, Sapphire Ventures, Battery Ventures,
  Accel, Cervin Ventures, and Point72 Ventures ($63.5M raised).'
url: https://raw.githubusercontent.com/api-evangelist/trust3-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
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:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://trust3.ai/wp-content/uploads/2026/05/cropped-T3-mark_indigo-1-192x192.png
x-docs-platform: mkdocs
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-17
x-docs-hosting: aws-cloudfront
tags:
- Company
- Artificial Intelligence
- AI Governance
- AI Agents
- Agent Security
- MCP Security
- Data Governance
- Compliance
- Observability
- Access Control
apis:
- name: Trust3 AI Governance API
  description: The Trust3 API server is the public AI Governance API edge of the Trust3 control plane. AI Assets Collectors
    running in the customer data plane authenticate every request with a Trust3 API key (AI_GOVERNANCE_API_KEY); the API server
    validates the key and routes allowed calls to Trust3 backend services (inventory, policies, scoring, workflows). The same
    edge hosts the official Trust3 MCP server at /mcp for external AI clients using MCP (read) scoped keys. No public REST
    API reference is published yet - the docs site's generic API page is a provider-flagged placeholder.
  humanURL: https://docs.trust3ai.com/platform-concepts/control-data-plane.html
  baseURL: https://api.na.trust3ai.com
  tags:
  - AI Governance
  - Agents
  - MCP
  properties:
  - type: Documentation
    url: https://docs.trust3ai.com/platform-concepts/control-data-plane.html
  - type: Authentication
    url: authentication/trust3-ai-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://trust3.ai/
- type: Documentation
  url: https://docs.trust3ai.com/
- type: GettingStarted
  url: https://docs.trust3ai.com/get-started/quick-start.html
- type: Blog
  url: https://trust3.ai/blog/
- type: BlogRSS
  url: https://trust3.ai/feed/
- type: Login
  url: https://na.trust3ai.com/
- type: TermsOfService
  url: https://trust3.ai/terms/
- type: PrivacyPolicy
  url: https://trust3.ai/privacy-policy/
- type: FAQ
  url: https://trust3.ai/faq/
- type: Support
  name: Support portal (Privacera Zendesk) - or support@trust3ai.com
  url: https://privacera.zendesk.com/
- type: GitHubOrganization
  url: https://github.com/privacera
- type: MCPServer
  url: mcp/trust3-ai-mcp.yml
- type: Packages
  url: packages/trust3-ai-packages.yml
- type: SDKs
  url: packages/trust3-ai-packages.yml
- type: Authentication
  url: authentication/trust3-ai-authentication.yml
- type: ChangeLog
  url: changelog/trust3-ai-changelog.yml
- type: Lifecycle
  url: lifecycle/trust3-ai-lifecycle.yml
- type: Conformance
  url: conformance/trust3-ai-conformance.yml
- type: Compliance
  url: https://privacera.com/trust-center/
- type: TrustCenter
  url: security/trust3-ai-trust-center.yml
- type: LLMsTxt
  url: llms/trust3-ai-llms.txt
- type: DomainSecurity
  url: security/trust3-ai-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 10
  pass: local-v1

Trust3 AI API — frequently asked questions

Does Trust3 AI have an API?

Yes. APIs.io lists 1 API from Trust3 AI, including Trust3 AI Governance API.

How do I authenticate with the Trust3 AI API?

Trust3 AI uses bearer-token authentication (apiKey · 3 schemes). The details are profiled on APIs.io as Trust3 Ai Authentication.

Does Trust3 AI have an MCP server?

Yes. APIs.io lists 1 MCP server for Trust3 AI: Remote MCP server at api.na.trust3ai.com over HTTP.

Is the Trust3 AI API ready for AI agents?

Trust3 AI has a Kin Score of 32.1 out of 100 (thin) and an Agent Readiness score of 11.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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