# Terac > Terac is the expert labor MCP: the supply layer for verified human labor in a world where AIs run companies. We aggregate and vet domain experts, then expose them programmatically so any agent, product, or research tool can source the exact human it needs on demand and pay out only on verified completion. Terac started in market research (panel plus AI-moderated interviews for UXR and product teams) and is expanding into human data for frontier model training (RL post-training with domain experts) and labor infrastructure for AI-run companies. The platform is built on four pillars: Panel (supply aggregation, health, and targeting), Moderator (an AI voice agent that screens, interviews, and verifies experts), Recruiter (sources niche audiences via ads, referrals, and outbound), and the API/MCP (the programmatic interface where agents define a job and Terac gets it done). ## Core Platform - [Home](https://terac.com): Overview of Terac's expert labor platform and the four product pillars - [About](https://terac.com/about): Terac's mission to build the supply layer for verified human labor - [AI Research](https://terac.com/ai): AI-moderated interviews and how agents source verified experts on demand - [Enterprise](https://terac.com/enterprise): Enterprise-grade solutions for large organizations - [Market Research](https://terac.com/market-research): Panel and AI-moderated interviews for UXR and product teams - [User Research](https://terac.com/user-research): Recruit and interview users for product and UX studies ## For Experts and Researchers - [Researchers](https://terac.com/researchers): How the verified expert network works; define studies, filters, screeners, and review submissions - [Researcher Docs](https://terac.com/docs/researchers): Guides for running studies on Terac: organizations and projects, opportunities, screening, recruitment, reviewing results, billing, and research methods - [Researcher llms.txt](https://terac.com/docs/researchers/llms.txt): Index of the researcher docs for LLMs, one line per page, opening with the MCP install guide and the developer docs - [Researcher llms-full.txt](https://terac.com/docs/researchers/llms-full.txt): Every researcher docs page as Markdown, in one file - [Expert Docs](https://terac.com/docs/experts): Guides for experts earning on Terac: creating an account and profile, applying to opportunities, screeners and AI interviews, tasks and projects, time tracking, payments and cashouts, referrals, policies, and support - [Expert llms.txt](https://terac.com/docs/experts/llms.txt): Index of the expert docs for LLMs, one line per page, opening with where experts get help - [Expert llms-full.txt](https://terac.com/docs/experts/llms-full.txt): Every expert docs page as Markdown, in one file - [Opportunities](https://terac.com/opportunities): Open research opportunities experts can apply to - [Referrals](https://terac.com/referrals): Refer experts and companies, and earn for introductions ## Developers and Agents - [Claude App](https://terac.com/claude): Terac's Claude app. Recruit, screen, interview and pay verified research participants from a Claude conversation; install it from the Claude directory - [Terac in the Claude Directory](https://claude.ai/directory/terac): The Claude listing itself, for pricing, launching, and reviewing research inside a conversation - [ChatGPT App](https://terac.com/chatgpt): Terac's ChatGPT app. Recruit, screen, interview and pay verified research participants from a ChatGPT conversation; install it from the ChatGPT app directory - [Terac in the ChatGPT Directory](https://chatgpt.com/plugins/plugin_asdk_app_699562017464819186082ec0bff33f17): The app listing itself, for pricing, launching, and reviewing research inside a conversation - [Agent MCP](https://terac.com/mcp): The Terac MCP server at https://terac.com/api/mcp, for Claude Code, Claude Desktop, Cursor, VS Code, and any Model Context Protocol client. Connect with OAuth or an organization API key - [MCP Install Guide](https://terac.com/docs/researchers/mcp/install): How to connect Claude, ChatGPT, Claude Code, Cursor, or VS Code to Terac - [Developer Docs](https://terac.com/docs/developers): Guides and endpoint reference for the Terac REST API (v2, beta): authentication, errors, filters, screening questions, quotas, and webhooks - [Developer llms.txt](https://terac.com/docs/developers/llms.txt): Index of the developer docs for LLMs, one line per page, opening with the API base URL, authentication, and the MCP server - [Developer llms-full.txt](https://terac.com/docs/developers/llms-full.txt): Every developer docs page as Markdown, in one file - [OpenAPI Spec](https://terac.com/docs/developers/openapi.json): The REST API as an OpenAPI 3.0 JSON document with the production server URL, for client generators and API tools - [Docs llms-full.txt](https://terac.com/llms-full.txt): The full text of Terac's docs for LLMs in one file; it carries the developer, researcher, and expert docs ## Resources - [Blog](https://terac.com/blog): Insights on AI research, expert labor, and human data for model training - [Customers](https://terac.com/customers): Case studies and customer success stories - [Stories](https://terac.com/stories): Longer-form customer stories - [What's New](https://terac.com/whats-new): Product updates and changelog - [Help Center](https://terac.com/help): Documentation and guides for using the platform - [FAQ](https://terac.com/resources/faq): Frequently asked questions ## Company - [Careers](https://terac.com/about#roles): Open positions and life at Terac - [Team](https://terac.com/team): The people building Terac - [Brand](https://terac.com/brand): Brand assets, guidelines, and the press contact - [Events](https://terac.com/events): Upcoming and past events - [Contact](https://terac.com/contact): Get in touch with the Terac team ## Optional - [Privacy Policy](https://terac.com/legal/privacy-policy): How Terac handles user data - [Terms of Service](https://terac.com/legal/terms-of-service): Legal terms for using the platform - [Cookie Policy](https://terac.com/legal/cookie-policy): Information about cookie usage - [Support Terms](https://terac.com/legal/support-terms): Terms and conditions for customer support