Our green agent implements an A2A-compatible evaluator for the Data Analysis Benchmark (DABench), a benchmark designed to assess LLM-based agents on realistic data analysis tasks over CSV datasets. DABench defines end-to-end analytical questions that require agents to interpret data, perform transformations, and produce verifiable outputs, enabling systematic evaluation of data analysis capabilities (see DABench paper: https://arxiv.org/html/2401.05507v1). Within this setup, the green agent (1) loads and structures tasks from the DABench benchmark, (2) dispatches clear analytical instructions to a participating agent via the A2A protocol, and (3) evaluates the agent’s responses using an LLM-as-judge approach to assess correctness and completeness. The green agent focuses exclusively on orchestration and evaluation, while reasoning and code execution are fully handled by the participating agent.