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Credo AI
Credo AI
Credo AI is an enterprise AI governance, risk, and compliance platform used to discover, register, risk-classify, and continuously govern every AI model, application, agent, and third-party AI vendor an organization runs. The platform pairs an AI Registry (use cases, models, vendors, agents, shadow-AI discovery) with a policy engine that turns regulatory frameworks — the EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC Local Law 144, Colorado SB21-169, OMB M-25 — into machine-enforced policy packs, controls, questionnaires, risk scenarios, and audit-ready evidence artifacts. Programmatic access is delivered through a multi-tenant JSON:API REST surface at api.credo.ai (300 operations across use cases, models, vendors, questionnaires, policy packs, policy controls, risks, tasks, teams, users, triggers, and Shadow AI), a first-party Python SDK (pycredoai) and TypeScript SDK (@credo-ai/sdk), and a published Claude Code plugin marketplace of eleven AI-governance Agent Skills backed by a gated Governance Intelligence Pro MCP server.
Credo AI publishes 2 APIs on the APIs.io network: Governance Platform API (v2) and Audit Logs & Shadow AI API. Tagged areas include Company, ai-governance, ai-risk-management, responsible-ai, and compliance.
Credo AI’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, signup flow, pricing, and 19 more developer resources.
3 APIs
1 MCP Servers
Company ai-governance ai-risk-management responsible-ai compliance regulatory-technology model-registry vendor-risk eu-ai-act nist-ai-rmf iso-42001 shadow-ai agent-governance audit json-api agent-skills
On this page
Kin Score
APIs 3
Open Collections 2
MCP Servers 1
Pricing Plans 1
Rate Limits 1
Security Posture 4
Resources 26
apis.yml
16 Operational Transparency
Composite quality — 43.7/100 · developing
Contract Quality
8.1 / 25
Developer Ergonomics
10.9 / 20
Commercial Clarity
12.1 / 20
Operational Transparency
2.1 / 13
Agent readiness — 24/100 · agent aware
Machine-Readable Contract
18 / 18
Agentic Access Contract
0 / 10
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
7 / 7
Typed Event Surface
0 / 6
Agent Skills
5 / 5
Well-Known Catalog
0 / 4
Consent & Bot Identity
0 / 3
A2A Agent Card
0 / 8
Dry-Run / Simulate Mode
0 / 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Model Context Protocol servers that expose these APIs to AI agents.
Published pricing tiers and plan structures.
Documented rate limits and quota policies.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
aid: credo-ai
name: Credo AI
description: Credo AI is an enterprise AI governance, risk, and compliance platform used to discover, register, risk-classify,
and continuously govern every AI model, application, agent, and third-party AI vendor an organization runs. The platform
pairs an AI Registry (use cases, models, vendors, agents, shadow-AI discovery) with a policy engine that turns regulatory
frameworks — the EU AI Act, NIST AI RMF, ISO/IEC 42001, NYC Local Law 144, Colorado SB21-169, OMB M-25 — into machine-enforced
policy packs, controls, questionnaires, risk scenarios, and audit-ready evidence artifacts. Programmatic access is delivered
through a multi-tenant JSON:API REST surface at api.credo.ai (300 operations across use cases, models, vendors, questionnaires,
policy packs, policy controls, risks, tasks, teams, users, triggers, and Shadow AI), a first-party Python SDK (pycredoai)
and TypeScript SDK (@credo-ai/sdk), and a published Claude Code plugin marketplace of eleven AI-governance Agent Skills
backed by a gated Governance Intelligence Pro MCP server.
image: https://cdn.prod.website-files.com/649d808ba8385965c74d94df/6a27d15ec3da571348386f01_OPENGRAPGH-light.png
url: https://raw.githubusercontent.com/api-evangelist/credo-ai/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-08-11'
modified: '2026-08-11'
tags:
- Company
- ai-governance
- ai-risk-management
- responsible-ai
- compliance
- regulatory-technology
- model-registry
- vendor-risk
- eu-ai-act
- nist-ai-rmf
- iso-42001
- shadow-ai
- agent-governance
- audit
- json-api
- agent-skills
apis:
- name: Credo AI Governance Platform API (v2)
description: Multi-tenant JSON:API REST interface to the Credo AI Governance Platform. 300 operations across 26 tags cover
use cases, use case questionnaires, risk scenarios, controls, policy packs, reports, reviews, comments and custom fields,
plus models and model versions, vendors, questionnaires, policy controls, risk classifications, tasks, fields, users,
teams, triggers and trigger actions, and Shadow AI tools and events. Media type is application/vnd.api+json throughout,
with cursor pagination (page[after]/page[before]/page[limit]), filter[...]/sort/include query conventions, and a JSON:API
errors[] envelope. Authenticated with a Bearer token exchanged from a tenant API token.
humanURL: https://docs.sdk.credo.ai/docs/intro/
baseURL: https://api.credo.ai/api/v2/{tenant}
tags:
- ai-governance
- ai-risk-management
- compliance
- model-registry
- vendor-risk
- json-api
properties:
- type: OpenAPI
url: openapi/credo-ai-governance-platform-swagger.json
- type: Swagger
url: https://api.credo.ai/swagger.json
- type: Documentation
url: https://docs.sdk.credo.ai/docs/intro/
- type: APIReference
url: https://docs.sdk.credo.ai/docs/api-reference
- type: GettingStarted
url: https://docs.sdk.credo.ai/docs/getting-started
- type: Overlay
url: overlays/credo-ai-governance-platform-overlay.yaml
- type: Authentication
url: authentication/credo-ai-authentication.yml
- type: Conventions
url: conventions/credo-ai-conventions.yml
- type: ErrorCatalog
url: errors/credo-ai-problem-types.yml
- type: DataModel
url: data-model/credo-ai-data-model.yml
- name: Credo AI Audit Logs & Shadow AI API
description: OpenAPI 3.0.0 contract covering the audit-log and Shadow AI slice of the Credo AI v2 API — listing, filtering,
exporting and retrieving audit log entries, and ingesting, listing, bulk-loading and deleting Shadow AI events plus registering
and unregistering discovered AI tools. Declares four servers (local, QA, production, on-premise), each templated on the
customer tenant identifier, and a BearerAuth JWT security scheme obtained from POST /auth/exchange.
humanURL: https://api.credo.ai/openapi
baseURL: https://api.credo.ai/api/v2/{tenant}
tags:
- audit
- shadow-ai
- ai-governance
- compliance
properties:
- type: OpenAPI
url: openapi/credo-ai-audit-logs-shadow-ai-openapi.json
- type: Documentation
url: https://api.credo.ai/openapi
- type: Overlay
url: overlays/credo-ai-audit-logs-shadow-ai-overlay.yaml
- name: Credo AI Governance Intelligence Pro MCP Server
description: Provider-published Model Context Protocol server ("governance-hub") distributed as the npm package @credoai/governance-hub-mcp
and run over stdio via npx. Grounds the Credo AI Claude Code Agent Skills in the live Credo AI Governance Intelligence
catalog with five documented tools — get_catalog_overview, governance_query, get_entities, get_maturity_framework, get_benchmarks.
Access credentials are gated; the npm package is not resolvable on the public registry.
humanURL: https://github.com/credo-ai/credoai-plugins
baseURL: npx -y @credoai/governance-hub-mcp
tags:
- mcp
- ai-governance
- agent-skills
properties:
- type: MCPServer
url: mcp/credo-ai-mcp.yml
- type: ToolCrosswalk
url: mcp/credo-ai-tool-crosswalk.yml
- type: Documentation
url: https://github.com/credo-ai/credoai-plugins
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
common:
- type: DomainSecurity
url: security/credo-ai-domain-security.yml
- type: Website
url: https://www.credo.ai/
- type: DeveloperPortal
url: https://docs.sdk.credo.ai/
- type: Documentation
url: https://docs.sdk.credo.ai/docs/intro/
- type: APIReference
url: https://docs.sdk.credo.ai/docs/api-reference
- type: GettingStarted
url: https://docs.sdk.credo.ai/docs/getting-started
- type: Support
url: https://www.credo.ai/contact
- type: Blog
url: https://www.credo.ai/resources
- type: GitHubOrganization
url: https://github.com/credo-ai
- type: SignUp
url: https://www.credo.ai/get-started
- type: Login
url: https://app.credo.ai/
- type: Pricing
url: plans/credo-ai-plans-pricing.yml
- type: TermsOfService
url: https://www.credo.ai/legal/terms-conditions
- type: PrivacyPolicy
url: https://www.credo.ai/legal/privacy-policy
- type: Security
url: https://www.credo.ai/legal/vulnerability-disclosure-policy
- type: VulnerabilityDisclosure
url: security/credo-ai-vulnerability-disclosure.yml
- type: TrustCenter
url: security/credo-ai-trust-center.yml
- type: Compliance
url: conformance/credo-ai-conformance.yml
- type: Conformance
url: conformance/credo-ai-conformance.yml
- type: Packages
url: packages/credo-ai-packages.yml
- type: SDKs
url: packages/credo-ai-packages.yml
- type: LLMsTxt
url: llms/credo-ai-llms.txt
- type: AgentSkill
url: skills/_index.yml
- type: Lifecycle
url: lifecycle/credo-ai-lifecycle.yml
- type: Plans
url: plans/credo-ai-plans-pricing.yml
- type: RateLimits
url: rate-limits/credo-ai-rate-limits.yml
x-enrichment:
date: '2026-08-11'
status: enriched
artifacts_added: 34
pass: local-v1