Overview

Data analysis agents combine language-model planning with tools such as Python, SQL, statistical packages, APIs, and visualization software to investigate data and explain results. Common approaches include code-generating agents, specialized multi-agent workflows, and systems grounded in schemas, ontologies, or domain-specific skills. Work spans business intelligence, spreadsheets, scientific research, and clinical or financial analysis, with growing emphasis on sandboxed execution, verification, provenance, and human oversight. Agents can handle bounded tasks, but ambiguity, long-running state, cross-source evidence, and silent methodological errors remain major challenges, as do evaluations that measure trustworthy end-to-end results rather than plausible outputs alone.

Latest papers

CardsList

106 papers24 papers in the last four weeks, up 26% on the four weeks before. 0.1% of all new papers.

  1. Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel

    Mar 12, 2026Aadyaa Maddi, Prakhar Naval, Deepti Mande +3LLM Agent EvaluationData Analysis Agents

  2. Agentic Control Center for Data Product Optimization

    Mar 10, 2026Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai +3Data Analysis AgentsHuman-in-the-Loop AI

  3. Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data

    Mar 5, 2026Anthony Badea, Marcello Maggi, Christopher McGinn +9AI Agents for Scientific DiscoveryData Analysis Agents

  4. DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval

    Mar 5, 2026Maojun Sun, Yue Wu, Yifei Xie +5Data Analysis AgentsLLM Agent Evaluation

  5. Explainable Iterative Data Visualisation Refinement via an LLM Agent

    Mar 2, 2026Burak Susam, Tingting MuData VisualizationVisual Analytics

  6. SciDER: Scientific Data-centric End-to-end Researcher

    Mar 2, 2026Ke Lin, Owais Aijaz, Yilin Lu +3AI Agents for Scientific DiscoveryScientific Workflow Automation

  7. A Hierarchical Multi-Agent System for Autonomous Discovery in Geoscientific Data Archives

    Feb 24, 2026Dmitrii Pantiukhin, Ivan Kuznetsov, Boris Shapkin +3Earth ScienceData Analysis Agents

  8. Beyond Description: A Multimodal Agent Framework for Insightful Chart Summarization

    Feb 21, 2026Yuhang Bai, Yujuan Ding, Shanru Lin +1Chart UnderstandingData Analysis Agents

  9. Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse

    Feb 21, 2026Martin Bertran, Riccardo Fogliato, Zhiwei Steven WuAI-Assisted Scientific ResearchData Analysis Agents

  10. MedInsightBench: Evaluating Medical Analytics Agents Through Multi-Step Insight Discovery in Multimodal Medical Data

    Dec 15, 2025Zhenghao Zhu, Chuxue Cao, Sirui Han +4Data Analysis AgentsMultimodal Model Evaluation

  11. CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science Workflows

    Nov 25, 2025Chenyue Li, Hyeonjae Kim, Wen Deng +4AI for ScienceMulti-Agent Orchestration

  12. Domain-Specific Agents for Cherenkov Telescope Array Control Software and Gamma-Ray Data Analysis

    Oct 1, 2025Dmitriy Kostunin, Elisa Jones, Vladimir Sotnikov +3High-Energy PhysicsLLM Agents

  13. GenoMAS: Guided Multi-Agent Programming for Scientific Discovery from Genomic Data

    Jul 28, 2025Haoyang Liu, Yijiang Li, Haohan WangAI Agents for Scientific DiscoveryData Analysis Agents

  14. AutoMind: Adaptive Knowledgeable Agent for Automated Data Science

    Jun 12, 2025Yujie Luo, Yixin Ou, Jingsheng Zheng +9Data Analysis AgentsLLM Agents