Clarifeye

Clarifeye is an AI-native knowledge infrastructure platform that captures the undocumented knowledge locked in people's heads. Its AI interviewer, Clara, runs document-aware interviews with subject-matter experts, surfaces contradictions, and structures the results into versioned, reusable knowledge artifacts — briefs, playbooks, mental maps, and ontologies. That captured knowledge is exposed to AI clients such as Claude, ChatGPT, and Microsoft Copilot through a hosted Model Context Protocol (MCP) server and a REST API, so agents answer grounded in an organization's own logic with references back to source. Clarifeye targets regulated industries where undocumented processes create key-person risk, offers EU and US data localization with PII redaction at ingestion, and is SOC 2 Type II certified. Backed by EQT Ventures.

Clarifeye publishes 13 APIs on the APIs.io network, including Agent Settings API, Conversations API, Documents API, and 10 more. Tagged areas include Company, Artificial Intelligence, Knowledge-Management, MCP, and Document Intelligence.

Clarifeye’s developer surface includes documentation, API reference, getting-started guide, quickstart, engineering blog, support, pricing, and 22 more developer resources.

🌐 Visit website 📡 Source on GitHub

43.5/100 developing ▬ flat Agent 56/100 agent ready saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessSelf serve

2 APIs 1 MCP Servers

Company Artificial Intelligence Knowledge-Management MCP Document Intelligence Agents Enterprise AI Retrieval

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 43.5/100 · developing

Contract Quality 13.3 / 23

Developer Ergonomics 10.6 / 18

Access Clarity 7.1 / 18

Operational Transparency 0.0 / 12

Contract Governance 2.0 / 11

Discoverability 6.8 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 56/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 6 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 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

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

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/clarifeye: 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 13

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

Clarifeye Agent Settings API

Manage AI agent configurations

Clarifeye Conversations API

Create and interact with AI-powered conversations

Clarifeye Documents API

Manage documents within a project

Clarifeye Extraction Flows API

Manage extraction flows (auto-sync DAGs) — list, run, inspect statistics, update, and publish

Clarifeye Feedback API

Submit feedback on conversation messages

Clarifeye Interviews API

Assign and review structured interview conversations

Clarifeye Invitations API

Manage project invitations

Clarifeye Notifications API

Manage project-scoped notifications for users

Clarifeye Pipeline Runs API

Inspect pipeline runs queued by extraction flows or other pipeline triggers — list runs and fetch the details/status of a single run

Clarifeye Signals API

Submit signals about the project's content for domain experts to review

Clarifeye Tables API

Perform CRUD operations on warehouse tables

Clarifeye Tools API

Execute configured AI tools with custom parameters

Clarifeye Users API

Manage users within a project

Scroll for all 13

Open Collections 14

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Clarifeye Platform Agent Settings API

OPEN COLLECTION

Clarifeye Platform Agent Settings Conversations API

OPEN COLLECTION

Clarifeye Platform Agent Settings Documents API

OPEN COLLECTION

Clarifeye Platform Agent Settings Extraction Flows API

OPEN COLLECTION

Clarifeye Platform Agent Settings Feedback API

OPEN COLLECTION

Clarifeye Platform Agent Settings Interviews API

OPEN COLLECTION

Clarifeye Platform Agent Settings Invitations API

OPEN COLLECTION

Clarifeye Platform Agent Settings Notifications API

OPEN COLLECTION

Clarifeye Platform Agent Settings Pipeline Runs API

OPEN COLLECTION

Clarifeye Platform Agent Settings Signals API

OPEN COLLECTION

Clarifeye Platform Agent Settings Tables API

OPEN COLLECTION

Clarifeye Platform Agent Settings Tools API

OPEN COLLECTION

Clarifeye Platform Agent Settings Users API

OPEN COLLECTION

Scroll for all 14

MCP Servers 1

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

Clarifeye MCP Server

Clarifeye publishes a hosted, per-knowledge-store MCP server that exposes an organization's captured knowledge (briefs, playbooks, mental maps, tags, objects) to AI clients (Cla...

MCP SERVER

Security Posture 2

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

Clarifeye Authentication

apiKey/http/oauth2 · 2 schemes

SECURITY

Clarifeye Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Clarifeye Scopes

3 scopes · authorizationCode

3 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Clarifeye Agentic Access

75 operations · 46 acting

AGENTIC

Resources

Get Started 5

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

Quickstart

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

MCPServer

AgentSkill

WellKnown

LLMsTxt

AgenticAccess

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Lifecycle

Conformance

DataModel

Access & Security 4

Authentication, authorization, and security posture

Compliance

Authentication

OAuthScopes

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: clarifeye
name: Clarifeye
description: Clarifeye is an AI-native knowledge infrastructure platform that captures the undocumented knowledge locked in
  people's heads. Its AI interviewer, Clara, runs document-aware interviews with subject-matter experts, surfaces contradictions,
  and structures the results into versioned, reusable knowledge artifacts — briefs, playbooks, mental maps, and ontologies.
  That captured knowledge is exposed to AI clients such as Claude, ChatGPT, and Microsoft Copilot through a hosted Model Context
  Protocol (MCP) server and a REST API, so agents answer grounded in an organization's own logic with references back to source.
  Clarifeye targets regulated industries where undocumented processes create key-person risk, offers EU and US data localization
  with PII redaction at ingestion, and is SOC 2 Type II certified. Backed by EQT Ventures.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://www.clarifeye.ai/_astro/og-default.BHhQt8Bo.png
url: https://raw.githubusercontent.com/api-evangelist/clarifeye/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- eqt-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Knowledge-Management
- MCP
- Document Intelligence
- Agents
- Enterprise AI
- Retrieval
tags_raw:
- Company
- Artificial Intelligence
- Knowledge Management
- Model Context Protocol
- Document Intelligence
- Agents
- Enterprise AI
- Retrieval
apis:
- aid: clarifeye:clarifeye-agent-settings-api
  name: Clarifeye Agent Settings API
  description: Manage AI agent configurations
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Agent Settings
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-agent-settings-api-openapi.yml
- aid: clarifeye:clarifeye-conversations-api
  name: Clarifeye Conversations API
  description: Create and interact with AI-powered conversations
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Conversations
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-conversations-api-openapi.yml
- aid: clarifeye:clarifeye-documents-api
  name: Clarifeye Documents API
  description: Manage documents within a project
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Documents
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-documents-api-openapi.yml
- aid: clarifeye:clarifeye-extraction-flows-api
  name: Clarifeye Extraction Flows API
  description: Manage extraction flows (auto-sync DAGs) — list, run, inspect statistics, update, and publish
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Extraction Flows
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-extraction-flows-api-openapi.yml
- aid: clarifeye:clarifeye-feedback-api
  name: Clarifeye Feedback API
  description: Submit feedback on conversation messages
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Feedback
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-feedback-api-openapi.yml
- aid: clarifeye:clarifeye-interviews-api
  name: Clarifeye Interviews API
  description: Assign and review structured interview conversations
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Interviews
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-interviews-api-openapi.yml
- aid: clarifeye:clarifeye-invitations-api
  name: Clarifeye Invitations API
  description: Manage project invitations
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Invitations
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-invitations-api-openapi.yml
- aid: clarifeye:clarifeye-notifications-api
  name: Clarifeye Notifications API
  description: Manage project-scoped notifications for users
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Notification
  tags_raw:
  - Notifications
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-notifications-api-openapi.yml
- aid: clarifeye:clarifeye-pipeline-runs-api
  name: Clarifeye Pipeline Runs API
  description: Inspect pipeline runs queued by extraction flows or other pipeline triggers — list runs and fetch the details/status
    of a single run
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Pipeline Runs
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-pipeline-runs-api-openapi.yml
- aid: clarifeye:clarifeye-signals-api
  name: Clarifeye Signals API
  description: Submit signals about the project's content for domain experts to review
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Signals
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-signals-api-openapi.yml
- aid: clarifeye:clarifeye-tables-api
  name: Clarifeye Tables API
  description: Perform CRUD operations on warehouse tables
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Tables
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-tables-api-openapi.yml
- aid: clarifeye:clarifeye-tools-api
  name: Clarifeye Tools API
  description: Execute configured AI tools with custom parameters
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - Tools
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-tools-api-openapi.yml
- aid: clarifeye:clarifeye-users-api
  name: Clarifeye Users API
  description: Manage users within a project
  humanURL: https://docs.clarifeye.ai/api-reference
  baseURL: https://eu.app.clarifeye.ai/api/v1
  tags:
  - User
  tags_raw:
  - Users
  properties:
  - type: OpenAPI
    url: openapi/clarifeye-users-api-openapi.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Overlay
  url: overlays/clarifeye-backoffice-overlay.yaml
- type: Website
  url: https://www.clarifeye.ai/
- type: DeveloperPortal
  url: https://docs.clarifeye.ai/
- type: Documentation
  url: https://docs.clarifeye.ai/
- type: APIReference
  url: https://docs.clarifeye.ai/api-reference
- type: GettingStarted
  url: https://docs.clarifeye.ai/guides/quickstart
- type: Quickstart
  url: https://docs.clarifeye.ai/guides/quickstart
- type: Blog
  url: https://www.clarifeye.ai/blog
- type: Support
  url: https://www.clarifeye.ai/contact-us
- type: Pricing
  url: https://www.clarifeye.ai/pricing
- type: SignUp
  url: https://us.app.clarifeye.ai/
- type: Login
  url: https://us.app.clarifeye.ai/
- type: TermsOfService
  url: https://www.clarifeye.ai/legal/terms-of-service
- type: PrivacyPolicy
  url: https://www.clarifeye.ai/legal/privacy-policy
- type: LinkedIn
  url: https://www.linkedin.com/company/clarifeyeai/
- type: Compliance
  url: https://www.clarifeye.ai/technology
- type: MCPServer
  url: mcp/clarifeye-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Authentication
  url: authentication/clarifeye-authentication.yml
- type: OAuthScopes
  url: scopes/clarifeye-scopes.yml
- type: WellKnown
  url: well-known/clarifeye-well-known.yml
- type: ErrorCatalog
  url: errors/clarifeye-problem-types.yml
- type: Conventions
  url: conventions/clarifeye-conventions.yml
- type: Lifecycle
  url: lifecycle/clarifeye-lifecycle.yml
- type: Conformance
  url: conformance/clarifeye-conformance.yml
- type: DataModel
  url: data-model/clarifeye-data-model.yml
- type: LLMsTxt
  url: llms/clarifeye-llms.txt
- type: DomainSecurity
  url: security/clarifeye-domain-security.yml
- type: AgenticAccess
  url: agentic-access/clarifeye-agentic-access.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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