APEX–Agents is a benchmark from Mercor for evaluating whether AI agents can execute long-horizon, cross-application professional services tasks.
Dataset Card
By Mercor, published under cc-by-4.0, revision 92c86856cf1b.
APEX–Agents is a benchmark from Mercor for evaluating whether AI agents can execute long-horizon, cross-application professional services tasks. Tasks were created by investment banking analysts, management consultants, and corporate lawyers, and require agents to navigate realistic work environments with files and tools (e.g., docs, spreadsheets, PDFs, email, chat, calendar).
- Tasks: 480 total (160 per job category)
- Worlds: 33 total (10 banking, 11 consulting, 12 law)
- Rubric criteria: binary, criterion-level grading; mean ~4 criteria per task
- Gold outputs: provided for every task
- World assets: included (files + metadata)
- License: CC-BY 4.0
- Intended use: APEX-Agents is intended exclusively for model evaluation. Any use of this dataset for training, fine-tuning, or parameter fitting is forbidden. Crawling or scraping the dataset is also forbidden.
Dataset overview
Details
- Repository
- mercor/apex-agents
- Publisher
- Mercor
- Task category
- Not stated by the source
- Tags
- agents, benchmarking, finance
- Size category
- n<1K
- Languages
- en
- Revision
- 92c86856cf1b11f9833a8a076b3a45a63afa3929
- Last updated
- 2026-06-11
Files
319 files, 9.0 GB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| metadata.json | Data | 641 B | — |
| tasks_and_rubrics.json | Data | 1.1 MB | — |
| world_descriptions.json | Data | 45.8 KB | — |
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License and Download
- License
- cc-by-4.0
- Access
- Access requested at publisher
Mercor grants access through its official repository on Hugging Face. Read the license.