---
license: cc-by-4.0
task_categories:
- question-answering
tags:
- finance
- financial-analysis
- reasoning
- search
---

This repository contains the FinSearchComp dataset, a benchmark for evaluating financial search and reasoning capabilities of LLM-based agents, as presented in the paper [FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning](https://huggingface.co/papers/2509.13160).

**Project Page:** [https://randomtutu.github.io/FinSearchComp/](https://randomtutu.github.io/FinSearchComp/)

FinSearchComp is the first fully open-source agent benchmark designed for realistic, open-domain financial search and reasoning. It comprises three tasks that closely reproduce real-world financial analyst workflows:
- Time-Sensitive Data Fetching
- Simple Historical Lookup
- Complex Historical Investigation

The benchmark includes 635 questions spanning global and Greater China markets, meticulously annotated by 70 professional financial experts.