diff --git a/README.md b/README.md
index fc5d188d..0d954a33 100644
--- a/README.md
+++ b/README.md
@@ -47,6 +47,12 @@ BrowserGym includes the following benchmarks by default:
  - [OpenApps](https://facebookresearch.github.io/OpenApps/)
  - [TimeWarp](https://timewarp-web.github.io)
 
+### External related benchmarks
+
+The following independent benchmark is related to BrowserGym's web-agent evaluation scope but is not integrated with or supported by BrowserGym:
+
+* **[ClawBench](https://github.com/TIGER-AI-Lab/ClawBench)** — [paper](https://arxiv.org/abs/2604.08523) and [project page](https://claw-bench.com/). It evaluates web and computer-use agents on 283 tasks across 163 live platforms with isolated browser sessions, request-level outcome checks, and recorded action, screenshot, network, and message traces. See the project's own [runner and setup instructions](https://github.com/TIGER-AI-Lab/ClawBench#readme); task definitions are available on [Hugging Face](https://huggingface.co/datasets/NAIL-Group/ClawBench) and mirrored at [TIGER-Lab/ClawBench](https://huggingface.co/datasets/TIGER-Lab/ClawBench).
+
 Designing new web benchmarks with BrowserGym is easy, and simply requires to inherit the [`AbstractBrowserTask`](https://github.com/ServiceNow/BrowserGym/blob/main/browsergym/core/src/browsergym/core/task.py#L7C7-L7C26) class.
 
 ## 🛠️ Setup
@@ -304,4 +310,4 @@ Here is an example of how they can be used:
 We use the BrowserGym framework for our experiments \cite{workarena2024,chezelles2025browsergym}.
 ```
 ## Traces
-Traces from “The BrowserGym Ecosystem for Web Agent Research” paper are available in [Huggingface](https://huggingface.co/datasets/agentlabtraces/agentlabtraces/tree/main).
+Traces from “The BrowserGym Ecosystem for Web Agent Research” paper are available in [Huggingface](https://huggingface.co/datasets/agentlabtraces/agentlabtraces/tree/main).
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