NYC School Explorer

About

NYC School Explorer is an AI-native data journalism tool designed to democratize access to complex NYC School Quality Report data. It allows users to query and analyze school performance metrics, budgets, and other related information through intuitive natural language conversations. The tool incorporates a three-layer AI guardrail system, transparent LLM-as-judge evaluations, and comprehensive logging, ensuring responsible, accurate, and contextually rich data exploration. It also provides interactive charts, detailed school profiles, and an MCP API for programmatic access, making it invaluable for journalists, researchers, and community members interested in NYC education.

Key Features

• Natural language chat powered by Claude for querying NYC school data
• Interactive charts via Recharts and detailed school profiles with year-over-year comparison
• MCP tools for school search, profiles, correlations, and curated lists
• 0 GitHub stars
• Three-layer AI guardrails and LLM-as-judge evaluation for responsible and accurate responses
• Evaluation logging and user feedback mechanisms for continuous improvement

Use Cases

• Investigating NYC school performance and quality metrics through natural language queries
• Programmatic access to NYC school data for external AI agents via the MCP API
• Conducting data journalism and research on NYC education trends, budgets, and demographics