Centaur Labs
Centaur Labs (centaur.ai) provides expert data annotation and labeling for healthcare and scientific AI. Its platform combines large crowds of vetted human experts with AI models in a competitive "collective intelligence" model to produce high-quality, aggregated training labels across images, text, audio, video, waveform and DICOM medical imaging. Centaur exposes a public REST API (api.centaurlabs.com) for importing data, creating and managing labeling projects, tasks, cases, gold standards, tags and prelabels, and for downloading aggregated results. The company is SOC 2 Type II audited and HIPAA compliant, was founded by Erik Duhaime out of the MIT Center for Collective Intelligence, and is backed by Accel and Matrix Partners.
Centaur Labs publishes 1 API on the APIs.io network. Tagged areas include Company, Ai, Data Annotation, Data Labeling, and Machine Learning.
Centaur Labs’ developer surface includes documentation, API reference, getting-started guide, engineering blog, support, signup flow, changelog, and 8 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
Centaur Public API
Public REST API for importing data and managing labeling projects, tasks, cases, assets, gold standards, prelabels, tags and for downloading aggregated labeling results. Split a...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
centaur-labs-mcp.yml
MCP SERVERSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 3
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API