# Aquin vs Scalebrowser

Aquin는 월간 방문 0, 전월 대비 성장률 0%, 가격 문의 가격 모델을 기록합니다. Scalebrowser는 월간 방문 161,955, 성장률 +212.7%, 무료 체험, 유료 가격 모델을 기록합니다.

| 지표 | [Aquin](https://openaitools.app/ko/tool/aquin) | [Scalebrowser](https://openaitools.app/ko/tool/scalebrowser) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.aquin.app | https://scalebrowser.net |
| 카테고리 | AI 브라우저, AI 검색 엔진, AI 어시스턴트, AI 음성-텍스트 변환 | AI 브라우저, AI Agent, AI 개발자 도구, AI API |
| 가격 모델 | 가격 문의 | 무료 체험, 유료 |
| 월간 방문 수 | 0 | 161,955 |
| 전월 대비 성장률 | 0% | +212.7% |
| 주요 시장 | 글로벌 | 글로벌 |
| 직접 방문 | 0 | 65,234 |
| 리뷰 점수 | 4.1 | 4.7 |
| 저장 수 | 0 | 0 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Aquin

Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents.

**가격 및 요금제:** Aquin does not publish a public price list. The site mixes freely readable research with applied engagements, so commercial terms are discussed directly with the team.

- **Universal predictor (Aleph):** A single base that handles tables, media, annotation and decision tasks, with the option to fine-tune toward your specific data.
- **Schema-bound outputs:** Outputs are typed and scored rather than free text, so downstream programs can act on results and escalate low-confidence cases.
- **Interpretability research:** Treats attention as a routing map from a single forward pass, isolating a small subgraph aimed at the answer and testing it under ablation.
- **Weight editing experiments:** Agentic weight-editing experiments that localise causal layers, apply rank-one MLP updates and validate then roll back steps when checks fail.
- **Self-learning developer agent:** An agent for controlling developer environments and running coding or research loops with recorded lessons and rejected paths.

**강점:** Research-grade interpretability work published openly alongside the applied product; Outputs designed for programs rather than chat, which suits automation pipelines; Explicit confidence scores make it practical to escalate uncertain predictions; One base is claimed to cover tables, media, annotation and decisions

**한계:** Aquin Labs is a research organisation, so most output is papers and interfaces rather than a polished consumer app; Aleph is described as a predictor for programs and teams, not a general chat assistant; No transparent public price list was found for commercial engagements; Material is heavily technical and assumes familiarity with ML evaluation work

[Profile (Markdown)](https://openaitools.app/ko/tool/aquin.md)

## Scalebrowser

Scalebrowser is a desktop browser platform built specifically for AI agents. It gives each agent its own isolated browser profile with a persistent identity, so automations can stay signed in between runs instead of starting from a blank session every time. Agents connect over MCP, Python and Node SDKs, a REST API or direct CDP, and every tool call is captured as a step with a result and a screenshot.

**가격 및 요금제:** Free plan with 1 concurrent browser, 1 machine and 3 profiles, no card required. Paid plans: Start at $19/month (1 browser, 25 profiles), Solo at $49/month (5 browsers, 100 profiles), Studio at $99/month (20 browsers, 3 machines, 500 profiles), and custom Enterprise pricing. Most paid plans include a 7-day free trial.

- **Persistent profile identity:** Each profile is generated from a seed so its identity, cookies and logins persist across restarts, and sites see the same returning visitor rather than a new device.
- **Isolated browser profiles:** One browser per profile means separate logins, cookies and devices that share nothing, making multi-account automation safe to run in parallel.
- **Built-in sign-in and 2FA handling:** Agents get through username and password forms, email confirmation codes, TOTP and SMS two-factor codes, passkeys and permission prompts without stalling.
- **Human-like input and captchas:** Press-and-hold, image grid, slider and rotation captchas are solved through human-like input rather than third-party solving keys.
- **Flexible agent integrations and trails:** Connect over MCP, Python or Node SDKs, REST or direct CDP, and review every action as a step with its result and screenshot.

**강점:** Strong focus on persistent, isolated identities so agents stay logged in across runs; Broad integration surface covering MCP, Python/Node SDKs, REST and direct CDP; Built-in handling of logins, email codes, TOTP, SMS, passkeys and captchas; Token-efficient page reading that only reports what changed between steps

**한계:** Requires installing a desktop app and running it on your own machine, so it is not a purely cloud-hosted service; Free tier excludes schedules, webhooks, sync and phone approvals; Paid tiers meter concurrent browsers, machines and profile counts, which can raise costs for large fleets; Advanced anti-detection features may raise compliance responsibility with target platforms

[Profile (Markdown)](https://openaitools.app/ko/tool/scalebrowser.md)

## 자주 묻는 질문

### Aquin과(와) Scalebrowser의 월간 트래픽은 어떻게 비교되나요?

Aquin의 월간 방문 수는 0이고, Scalebrowser는 161,955입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Aquin의 전월 대비 성장률은 0%이며, Scalebrowser는 +212.7%입니다.

### 가격은 어떻게 비교되나요?

Aquin: 가격 문의. Aquin does not publish a public price list. The site mixes freely readable research with applied engagements, so commercial terms are discussed directly with the team. Scalebrowser: 무료 체험, 유료. Free plan with 1 concurrent browser, 1 machine and 3 profiles, no card required. Paid plans: Start at $19/month (1 browser, 25 profiles), Solo at $49/month (5 browsers, 100 profiles), Studio at $99/month (20 browsers, 3 machines, 500 profiles), and custom Enterprise pricing. Most paid plans include a 7-day free trial.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/ko/tool/deepseek) | 372,761,591 | +4.3% | 무료+유료 | DeepSeek-V4와 R1으로 구동되는, 극히 낮은 토큰 비용의 고효율 오픈웨이트·호스팅 추론 AI. | [.md](https://openaitools.app/ko/tool/deepseek.md) |
| 2 | [Grok](https://openaitools.app/ko/tool/grok) | 203,846,050 | -0.8% | 무료+유료 | 실시간 X 연동을 갖춘, Grok 4.7 기반 xAI의 실시간 AI 어시스턴트 겸 코딩 워크스페이스. | [.md](https://openaitools.app/ko/tool/grok.md) |
| 3 | [Apify](https://openaitools.app/ko/tool/apify) | 4,147,762 | +3.9% | 무료+유료, 가격 문의 | A massive cloud web scraping and automation marketplace, though it lacks Scalebrowser's focus on persistent isolated profiles. | [.md](https://openaitools.app/ko/tool/apify.md) |
| 4 | [Dia 브라우저](https://openaitools.app/ko/tool/dia-browser) | 1,254,172 | +108.4% | 무료 | 탭 사이의 맥락을 읽는 AI 브라우저 | [.md](https://openaitools.app/ko/tool/dia-browser.md) |
| 5 | [Labelbox](https://openaitools.app/ko/tool/labelbox) | 762,803 | -22.8% | 가격 문의 | 최전선 AI가 학습하는 환경, 그리고 반복 업무를 맡는 에이전트 | [.md](https://openaitools.app/ko/tool/labelbox.md) |
| 6 | [Eigent AI](https://openaitools.app/ko/tool/eigent-ai) | 575,703 | +1.4% | 무료+유료, 무료 체험, 가격 문의 | 브라우저·파일·앱 작업을 대신하는 오픈소스 데스크톱 AI 워크포스 | [.md](https://openaitools.app/ko/tool/eigent-ai.md) |
| 7 | [Vocareum](https://openaitools.app/ko/tool/vocareum-com) | 531,556 | +5.4% | 유료 | AI·클라우드·데이터 교육을 위한 실습 랩 인프라 | [.md](https://openaitools.app/ko/tool/vocareum-com.md) |
| 8 | [ego (lite)](https://openaitools.app/ko/tool/ego-lite) | 384,099 | +97.6% | 무료 | 로컬에서 병렬 AI 웹 자동화 및 스크래핑 작업을 실행하도록 최적화된 무료 Chromium 기반 브라우저입니다. | [.md](https://openaitools.app/ko/tool/ego-lite.md) |
| 9 | [Deep Search](https://openaitools.app/ko/tool/deep-search) | 359,001 | -52.7% | 유료 | 공개 웹 데이터로 만들고 출처를 확인할 수 있는 AI 인물 프로필 | [.md](https://openaitools.app/ko/tool/deep-search.md) |
| 10 | [Happycapy](https://openaitools.app/ko/tool/happycapy) | 191,406 | +7.2% | 무료+유료 | 당신 대신 일하는 에이전트 네이티브 컴퓨터 | [.md](https://openaitools.app/ko/tool/happycapy.md) |

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출처: https://openaitools.app/ko/compare/aquin-vs-scalebrowser

More Markdown: [카테고리](https://openaitools.app/ko/categories.md) · [트래픽 순위](https://openaitools.app/ko/rankings.md) · [llms.txt](https://openaitools.app/ko/llms.txt)