- 月访问
- <5K
- 2026 年 9 月
- 公开收入
- 未公开
- 暂无公开收入证据
- 入门价
- $79/月
- 高于同类 83% 的产品同类中位数 $19/月
- 首次发布
- 4 个月前
- 2026-07-30 · 估算
访问
营销动作
发布、搜索与内容、引荐、促销在 LaunchIgniter 发布(8 票)发布
ShieldLabs — Fraud detection with traffic quality scoring
9 月 21 日 · 54 天前发布页
当时 月访问 <5K访问:之后 1 个月 +472%同期还有 1 个动作在 BetaList 发布发布
ShieldLabs BOOSTED – Assess traffic quality, detect anonymity, and stop multi-accounting — Assess traffic quality, detect anonymity, and stop multi-accounting
9 月 5 日 · 2 个月前发布页
当时 月访问 <5K访问:之后 1 个月 +472%同期还有 3 个动作在 DevHunt 发布发布
ShieldLabs — Fraud detection and prevention with traffic quality scoring, using visitor identification and anonymity detection with up to 99% accuracy. Stops multi-accounting, account sharing, fake signups and ad fraud.
8 月 18 日 · 3 个月前发布页
当时 月访问 <5K同期还有 4 个动作在 Uneed 发布(#14)发布
ShieldLabs — Anonymous visitor detection and risk scoring for fraud and abuse prevention
7 月 31 日 · 4 个月前发布页
第三方评测与案例拆解
获客渠道拆解、工程师评测与开源档案- 核心亮点评测:
- - Identification : recognises a returning visitor through cleared cookies, incognito and IP rotation - Network Intelligence : detects VPN, proxy, Tor, Privacy Relay and datacenter IP - Device Intelligence : detects anti-detect browsers, browser automation and OS mismatch - Risk score : every visit scored 0 to 100 with the named signals that produced it - Patterns : correlation across accounts and devices, pointing to multi-accounting and account takeover - Traffic analytics : risk bands and traffic quality by channel, referrer and UTM - Setup : one JavaScript snippet, then REST API and webhooks
- 适用人群:
- - Multi-accounting : one person running many accounts to farm a benefit - Free-trial abuse : endless new trials from the same person - Bonus abuse : signup bonuses claimed repeatedly by the same person - Promo abuse : discount codes redeemed far beyond intent - Referral fraud : self-referrals and fake invitees - Loyalty fraud : points and rewards farmed illegitimately - New-account fraud : fraudulent signups at registration - Account takeover : someone else logging into a real user's account - Account sharing : one subscription used by many people - Ban evasion : banned users returning under new identities - Paywall bypass : reading paid content without paying - Payment fraud : fraudulent transactions - Ad fraud : paid traffic that is not real people - Location spoofing : faked geography to reach restricted content or pricing - Sybil attack : many fake identities to sway a system, common in crypto and Web3 - Returning visitor recognition : the positive side, recognising a good customer instead of asking them to prove who they are again
流量来源
访问构成
渠道
- 直接访问36%
- 自然搜索31%
- 外部引荐12%
- 社交媒体7%
- 其他15%
国家/地区
- 印度71%
- 美国29%
搜索
站点权重 —域名注册 2025-09-08
| 关键词 | 月搜索量 |
|---|---|
| explain what is sound fingerprint | 120 |
| shield webhook | 110 |
| "how to detect anti-detect browsers | 70 |
| best system to detect multiple accounts on my platform | 50 |
| a tool to detect atni detect broser | 40 |
流量数据:Vaneform
定价
页面与变化
关键页面
每周快照- 首页shieldlabs.ai/
- 定价shieldlabs.ai/pricing 快照 2026-11-03
- 功能shieldlabs.ai/products/device-intelligence 快照 2026-11-03
变化
开始记录以来,定价、套餐与定位都没有变化。
问题与证据
- ShieldLabs 的价格是多少?
- Starter: $79/月(按年付); Growth: $319/月(按年付); Scale: $799/月(按年付); Free: 未知. 观察于 2026-11-03。 当前计费条件、用量限制与税费以来源页面为准。来源
- ShieldLabs 的网站访问量是多少?
- Vaneform 估算 2026-09 网站访问量为 <5K。访问量包含重复访问,付费客户数与收入需分别查看对应证据。来源
- ShieldLabs 是什么产品,支持哪些平台?
- ShieldLabs 归属「反欺诈与验证」赛道:ShieldLabs 为数字产品团队提供欺诈与滥用检测,通过设备、浏览器和网络信号识别风险流量、机器人及账户滥用。。 支持平台包括:开放 API。
同分类研究对象
这些产品属于同一目录分类。选型时请进一步核对客户任务、功能与部署要求。