Prolific 每月有 18,697,671 次造訪,月增率 -1.8%,定價模式為付費。WolframAlpha 每月有 3,101,089 次造訪,成長率 +5.6%,定價模式為免費增值。
WolframAlpha is a computational knowledge engine that answers factual, mathematical, and scientific queries by computing results from curated data and algorithms rather than just searching for them.
| 面向/指標 | ||
|---|---|---|
| 官方網域 | prolific.com | wolframalpha.com |
| 定價模式 | 付費 | 免費增值 |
| 每月造訪次數 | 1869.77萬 (18,697,671) | 310.11萬 (3,101,089) |
| 月流量變化量 | -35.2萬 (-1.8%) | +16.34萬 (+5.6%) |
| 主要市場與市佔 | 🇺🇸 美國 (48.8%) | 🇺🇸 美國 (37.6%) |
| 每月直接造訪 | 1297.97萬 | 148.25萬 |
| 使用者評分 | 4.6 | 4.7 |
| 支援平台 | 網站 | 網站 |
為 AI 訓練、評估與研究提供高品質人類資料
依詳細的人口統計、職業與行為條件篩選參與者,觸達小眾或具代表性的樣本,而非泛泛的人群。
採集用於模型微調的人類偏好資料,執行安全性評估與紅隊測試,並透過回饋 API 把人工環節接入自動化流程。
注意力檢驗、誠實度篩查與審批流程,協助你在分析結果前剔除敷衍或欺詐性回答。
發布研究後能迅速開始收集回答,工具支援篩選條件、配額設定與縱向研究設計。
WolframAlpha is a computational knowledge engine that answers factual, mathematical, and scientific queries by computing results from curated data and algorithms rather than just searching for them.
Enter a question in natural language or via math input and get computed answers with plots, units, and context.
Solve algebra, calculus, differential equations, statistics, and more, with worked solutions on Pro.
Pull facts, conversions, and comparisons across geography, history, money, nutrition, and more.
Auto-generate charts, plots, and visual representations of results.

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Google 官方全模態 AI 助手與生態平台 — 全面搭載最新旗艦 Gemini 4 Carbon (Gemini Carbon 4)、Gemini 4 Argon、Gemini 3.8 Flash 與 Gemini 3.1 Pro
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Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
專項更強Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.