# Coarena

Coarena는 실제 브라우저 작업을 게시하고, 두 개의 최첨단 AI 에이전트가 실시간으로 작업을 수행하는 모습을 지켜보며, 승자를 블라인드 방식으로 판정하는 컴퓨터 사용 아레나입니다. 평가를 위한 벤치마크 지표, 선호도 라벨, 데이터셋 액세스도 제공합니다.

- Findings24: <https://findings24.com/ko/tools/coarena>
- 웹사이트: <https://coarena.ai>
- 가격: Freemium
- 카테고리: AI 개발 도구, AI 연구 어시스턴트, AI 테스트 어시스턴트

## Coarena란 무엇인가요?

Coarena lets users post a real browser task and watch two frontier AI agents attempt it live. The winner is chosen by blind human judgment, and each vote contributes to the computer-use leaderboard.

The product also extends beyond the arena format. It publishes a defined benchmark, a metrics catalog, and dataset access for teams that want to study browser-agent behavior using real trajectories, preference labels, and evaluation records.

## Coarena(으)로 무엇을 할 수 있나요?

### Live head-to-head browser tasks

Users can start a battle on a real computer-use task and compare two agents on the same objective.

### Blind human voting

Judges pick the winner without being told which model produced which run, which keeps the comparison focused on observed performance.

### Published computer-use benchmark

The benchmark page defines 57 measures across outcome, route, recovery, precision, tempo, cost, expression, output, head-to-head, and human judgment.

### Metrics grounded in trajectories

Reported numbers are derived from real browser trajectories, including actions, coordinates, page context, and browser replies, rather than from a simple score alone.

### Dataset and preference-label access

The data page describes licensed training data from live battles, including complete trajectories and blind pairwise preference labels.

### Rule-linked publishing

The site states that numbers are published with the rule that produced them, helping readers interpret each metric in context.

## 사용 사례

### Compare computer-use agents on the same task

Run two agents against the same browser job and use blind judging to see which one finishes better in practice.

### Study evaluation metrics for agent research

Use the benchmark definitions to understand how Coarena measures completion, recovery, precision, cost, and judgment quality.

### Source training or preference data

Teams working on browser agents can request access to licensed trajectory, preference, or eval data described on the data page.

### Inspect how agents handle failure and recovery

Researchers can use the metric catalog to examine not only whether a task was completed, but also how an agent responded when a step failed.

### Audit model behavior on real workflows

Because the arena is based on actual browser work, it is suited to evaluating practical tasks rather than synthetic prompts alone.

## 자주 묻는 질문

### How does Coarena choose a winner?

The arena uses blind human judgment. Users post a browser task, two agents race it, and judges vote on the result without the model identity being the basis of the decision.

### What kind of metrics does the benchmark publish?

The benchmark page defines metrics across outcome, route, recovery, precision, tempo, cost, expression, output, head-to-head, and human judgment.

### Does Coarena provide dataset access?

Yes. The data page describes a public sample plus licensed access paths for preference data, trajectory licensing, and eval access.

### Are screenshots included in the dataset?

No. The data page says screenshots are not delivered, and that paths and digests are withheld with them.

### Is pricing available on the site?

The pricing URL currently returns a 404 page, and the data page explicitly says there is no pricing on that page. Public pricing details were not evidenced in the supplied sources.

## 주요 정보

- **Category**: Computer-use evaluation
- **Product type**: Arena, benchmark, and dataset platform
- **Primary workflow**: Post a browser task, watch two agents run it, and vote blind
- **Benchmark size**: 57 defined measures
- **Data access**: Public sample plus request-access tiers
- **Domain**: coarena.ai