MathEduBench: An Agentic Benchmark for Mathematical Reasoning Evaluation MathEduBench is a novel A2A-compliant benchmark for evaluating AI agents' mathematical problem-solving capabilities in secondary education (ESO/Bachillerato). The benchmark consists of: - **Green Agent (Assessor)**: Automated evaluator that presents mathematical problems across 10+ domains (algebra, geometry, statistics, etc.) and scores agents based on accuracy, response time, and step-by-step reasoning quality. - **Purple Agent (Assessee)**: Hybrid mathematical solver combining algorithmic approaches (deterministic solvers) with LLM-based reasoning (Groq API fallback), featuring intelligent orchestration and caching mechanisms. - **Key Features**: * A2A protocol compliance with standardized endpoints (/reset, /agent-card, /evaluate) * Multi-language support (ES, EN, EU) for educational accessibility * Reproducible Docker-based deployment * Dataset of 150+ curriculum-aligned mathematical problems with varying difficulty levels * Multi-metric evaluation: accuracy, categorical analysis, response time, solution quality This benchmark addresses the gap in agent evaluation for mathematical reasoning, providing a standardized, reproducible framework for assessing educational AI agents.