#1EdgeDNS 每月有 0 次造訪,月增率 0%,定價模式為免費增值。Scale 每月有 616,915 次造訪,成長率 +12.5%,定價模式為需聯絡報價。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
| 面向/指標 | ||
|---|---|---|
| 官方網域 | edgedns.dev | scale.com |
| 定價模式 | 免費增值 | 需聯絡報價 |
| 每月造訪次數 | 0 (0) | 61.69萬 (616,915) |
| 月流量變化量 | 0 (0%) | +6.87萬 (+12.5%) |
| 主要市場與市佔 | 🌐 全球 (—) | 🇺🇸 美國 (44.2%) |
|---|
| 每月直接造訪 | 0 | 19.14萬 |
|---|
| 使用者評分 | 4.3 | 4.7 |
|---|
| 支援平台 | 網站 | 網站 |
|---|
私有網域監控與為 AI 而生的 DNS 情報 API
加入網域後,EdgeDNS 私密追蹤 DNS 記錄變動、SSL 憑證到期、所有權更新與五項健康評分,在問題變成故障前提醒你。
驗證寄送網域的 SPF、DKIM 與 DMARC 設定,給出等級評分與具體修復步驟,避免大型寄信活動默默進入垃圾信件匣。
一次接入 Claude、ChatGPT、Gemini、Cursor 或任何相容 MCP 的用戶端,即可讓 AI 用白話執行 106 項網域檢查:DNS 查詢、憑證稽核、技術堆疊偵測等。
以毫秒級回應取得 WHOIS 與所有權記錄、SSL 憑證詳情、技術堆疊、主機資訊,以及附風險輪廓的 IP 地理定位。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
#1
專項更強在互聯環境中追蹤、評估並交付 AI 模型與代理。

專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.

免費 / 開源提供具彈性的開源替代方案,適用於自訂資料標註與真人迴路(Human-in-the-loop)標註管線。

專項更強Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
提供企業級多模態標註與資料管理工具,但較不強調託管式的標註人力。
專項更強Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
專項更強打造、模擬、評估並監控能自我改進的 AI 代理
在整個組織內統一 LLM 評估、可觀測性與紅隊測試標準