Multi-dimensional data quality validation and statistical anomaly detection for LLM training data, with auto-fix pipeline and MCP tools for AI IDE integration.
Integrates data labeling workflows with AI IDEs via 12 tools, 6 resources, and 3 prompt templates, enabling LLM-assisted pre-labeling, inter-annotator agreement analysis, and conflict adjudication.