NYC School Explorer

Example Use Cases

• 1

  Query NYC school quality and performance data via natural language.

• 2

  Generate data visualizations and comparisons of NYC schools.

• 3

  That require responsible AI guardrails and evaluation scoring on responses.

Description

NYC School Explorer is an AI-native data journalism tool that enables natural language conversation to explore NYC School Quality Report data. It features responsible AI guardrails, LLM-based response evaluation, interactive charts, and detailed school profiles with year-over-year comparisons. The MCP API endpoint allows external AI agents to programmatically query comprehensive NYC school data without authentication, supporting data-driven insights and analysis.