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Truesight Documentation

Official documentation for Truesight -- an AI evaluation platform that helps you build expert-grounded evaluations for your AI applications.

What is Truesight?

Truesight lets you define what "good" and "bad" look like for your specific use case, then deploy those criteria as live API endpoints. Instead of relying on generic metrics, you score AI outputs against your own domain expertise -- in real time, at scale.

Key capabilities:

  • Upload datasets of AI inputs and outputs (CSV, JSON, JSONL)
  • Run Error Analysis to discover evaluation criteria from your data
  • Build pass/fail evaluations using Guided Setup -- no coding required
  • Deploy evaluations as live REST API endpoints
  • Integrate via MCP with Claude, Cursor, VS Code Copilot, and Windsurf
  • Review results and promote corrections back into your datasets

Documentation

Page Description
Overview Core concepts and workflow
Getting Started Set up your account and run your first evaluation
Datasets Upload and manage evaluation data
Error Analysis Discover evaluation criteria from your data
Evaluations Build and configure evaluation criteria
Results & Review View results and manage the review queue
Teams & Organizations Manage members, API keys, and credits
API Integration Score AI outputs via REST API
Platform API Keys Create and manage platform API keys
MCP Integration Connect AI assistants via Model Context Protocol

Quick links

Using with AI assistants

This repository is indexed by Context7, making Truesight documentation available to AI coding assistants via the Context7 MCP.

For direct MCP integration with Claude, Cursor, VS Code, and Windsurf, see the MCP Integration guide.

License

The documentation in this repository is proprietary to Goodeye Labs and provided under the Truesight Documentation License. You may read and use it to work with Truesight, allow AI and documentation tools such as Context7 to index it, and freely reuse the code samples. Redistributing or creating derivative documentation is not permitted. See LICENSE for details.

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Official documentation for Truesight — an AI evaluation platform for scoring AI outputs with configurable judge criteria, datasets, and live evaluation endpoints.

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