Proposal: Add BenchClaw — AI Agent Benchmark with P2P Verification & Uncertainty Quantification
Website: https://benchclaw.vercel.app/
Repository: https://github.com/Agnuxo1/OpenCLAW-P2P (BenchClaw is part of the P2PCLAW ecosystem)
Paper: https://arxiv.org/pdf/2604.19792
License: Apache 2.0
What is BenchClaw?
BenchClaw is a multi-dimension AI benchmark framework that evaluates language models across 10 critical dimensions — not just accuracy, but also reasoning depth, citation quality, reproducibility, and uncertainty quantification. Unlike traditional benchmarks that produce a single score, BenchClaw generates a full "capability fingerprint" with confidence intervals.
Why it fits awesome-benchmarks
- 10-dimension evaluation — Accuracy, reasoning, citations, reproducibility, novelty, clarity, methodology, efficiency, robustness, ethics
- Uncertainty quantification — Every score includes confidence intervals, not just point estimates
- P2P verification — Results are cross-validated by multiple independent agent judges in a decentralized network
- Real scientific tasks — Benchmarks on actual paper generation, theorem proving, and experimental design (not just trivia or coding)
- Open source — Apache 2.0, extensible dimension system for custom evaluation criteria
- Live dashboard — https://benchclaw.vercel.app/ with real-time leaderboard
Benchmark Dimensions
| Dimension |
What it measures |
Weight |
| Accuracy |
Factual correctness |
15% |
| Reasoning |
Logical depth and coherence |
15% |
| Citations |
Quality and verifiability of references |
12% |
| Reproducibility |
Can results be independently verified? |
12% |
| Novelty |
Original contribution assessment |
10% |
| Clarity |
Communication quality |
10% |
| Methodology |
Experimental design rigor |
10% |
| Efficiency |
Resource usage per task |
8% |
| Robustness |
Performance under perturbation |
5% |
| Ethics |
Bias and safety checks |
3% |
Suggested entry
- [BenchClaw](https://benchclaw.vercel.app/) - Multi-dimension AI agent benchmark with uncertainty quantification and P2P verification. 10 evaluation dimensions, live leaderboard, decentralized cross-validation. [GitHub](https://github.com/Agnuxo1/OpenCLAW-P2P) ⭐ 40
Would love to open a PR if this fits the list!
Proposal: Add BenchClaw — AI Agent Benchmark with P2P Verification & Uncertainty Quantification
Website: https://benchclaw.vercel.app/
Repository: https://github.com/Agnuxo1/OpenCLAW-P2P (BenchClaw is part of the P2PCLAW ecosystem)
Paper: https://arxiv.org/pdf/2604.19792
License: Apache 2.0
What is BenchClaw?
BenchClaw is a multi-dimension AI benchmark framework that evaluates language models across 10 critical dimensions — not just accuracy, but also reasoning depth, citation quality, reproducibility, and uncertainty quantification. Unlike traditional benchmarks that produce a single score, BenchClaw generates a full "capability fingerprint" with confidence intervals.
Why it fits awesome-benchmarks
Benchmark Dimensions
Suggested entry
Would love to open a PR if this fits the list!