ghostfolio/agent/evals/EVAL_DATASET_README.md

Finance AI Agent — Public Eval Dataset

183 test cases for AI agents built on personal finance and portfolio management software.

Built on top of Ghostfolio — an open source wealth management platform.

Released publicly as a resource for developers building finance AI agents.

Test Categories

Category	Count
Happy Path	20
Edge Cases	14
Adversarial	14
Multi-Step	13
Other	122
Total	183

How To Run

git clone https://github.com/lakshmipunukollu-ai/ghostfolio
cd ghostfolio
git checkout submission/final
pip install -r agent/requirements.txt
python -m pytest agent/evals/ -v

Test Structure

Every test in test_eval_dataset.py follows:

# TYPE: happy_path | edge_case | adversarial | multi_step
# INPUT: what is being tested
# EXPECTED: what the tool should return
# CRITERIA: the specific assertion
def test_name():
    from tools.tool_name import function_name
    result = function_name(params)
    assert "key" in result

Results

• Tests: 183
• Pass rate: 100%
• Runtime: ~30 seconds

Contribute

Submit a PR with new test cases. Follow the TYPE/INPUT/EXPECTED/CRITERIA pattern.

License

MIT

Author

Priya Lakshmipunukollu — AgentForge, February 2026 https://github.com/lakshmipunukollu-ai/ghostfolio