免費 / 開源由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。
Aquin 每月有 0 次造訪,月增率 0%,定價模式為需聯絡報價。Scalebrowser 每月有 161,955 次造訪,成長率 +212.7%,定價模式為免費試用、付費。
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.

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.
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | aquin.app | scalebrowser.net |
| 定價模式 | 需聯絡報價 | 免費試用、付費 |
| 每月造訪次數 | 0 (0) | 16.2萬 (161,955) |
| 月流量變化量 | 0 (0%) | +11.02萬 (+212.7%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🌐 全球 (—) |
| 每月直接造訪 | 0 | 6.52萬 |
| 使用者評分 | 4.1 | 4.7 |
| 支援平台 | 網站 | 網站 |
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.
A single base that handles tables, media, annotation and decision tasks, with the option to fine-tune toward your specific data.
Outputs are typed and scored rather than free text, so downstream programs can act on results and escalate low-confidence cases.
Treats attention as a routing map from a single forward pass, isolating a small subgraph aimed at the answer and testing it under ablation.
Agentic weight-editing experiments that localise causal layers, apply rank-one MLP updates and validate then roll back steps when checks fail.

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.
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.
One browser per profile means separate logins, cookies and devices that share nothing, making multi-account automation safe to run in parallel.
Agents get through username and password forms, email confirmation codes, TOTP and SMS two-factor codes, passkeys and permission prompts without stalling.
Press-and-hold, image grid, slider and rotation captchas are solved through human-like input rather than third-party solving keys.
免費 / 開源由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。

專項更強A massive cloud web scraping and automation marketplace, though it lacks Scalebrowser's focus on persistent isolated profiles.
免費 / 開源一款免費的 Chromium 瀏覽器,專為在本地端執行平行 AI 網頁自動化與爬蟲任務而最佳化。
以公開網路資料為基礎、每條資訊皆可溯源的對象人物側寫

使用無程式碼雲端 AI 代理建立並執行自主網頁爬蟲管線,而不是使用受管理的持久性瀏覽器設定檔。
使用無程式碼雲端 AI 代理建立並執行自主網頁爬蟲管線,而不是使用受管理的持久性瀏覽器設定檔。