# Apex Predators

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Pranav Patel](https://cerebralvalley.ai/u/pranavp), [Shasvat Jawahar](https://cerebralvalley.ai/u/shasvatj)
- **GitHub:** https://github.com/17shasvatj/harfeast_apex_openenv_hackathon
- **Website:** https://colab.research.google.com/drive/15yfUrk4mbIULM42xE8xmHCF2m4iUaEmb
- **Demo video:** https://youtu.be/qWK4R1vk1GA
- **Hugging Face:** https://huggingface.co/spaces/openenv-community/harfeast-env
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/79

HarFeast is a procedurally generated RL environment that simulates real management consulting engagements for a food manufacturing company. Each "world" is a complete enterprise data ecosystem containing employee surveys (3000+ rows), equipment maintenance records, production data, interview transcripts, scrap rate reports, and industry benchmark documents.
The agent interacts through 8 tools — files.list, files.read, spreadsheet.read_range, data.filter, data.group_by, data.add_columns, data.compute, and submit — that mirror how a real analyst would navigate an enterprise data environment. 
Each world contains 14 consulting tasks spanning workforce readiness analysis, equipment failure prediction, training ROI calculation, and operational efficiency assessment. Tasks are scored against multi-criteria rubrics with verifiable ground truth — the agent must produce specific numbers, percentages, and counts that match deterministic computations over the data.

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Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/79. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt