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, Model Context Protocol, and Document Intelligence.
Clarifeye’s developer surface includes documentation, API reference, getting-started guide, quickstart, engineering blog, support, pricing, and 21 more developer resources.
Kin Score
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
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
clarifeye-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Scopes 1
OAuth scopes governing access to this provider's APIs.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 5
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API