Struct VS N71
Struct VS N71对比，Struct 和 N71 有什么区别？
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总结
Struct 总结
Struct is an AI agent that root-causes engineering alerts using logs, metrics, traces, and code. Resolve incidents faster with a composable, customizable system that deploys in minutes and works with your existing DevOps workflows.
Struct 着陆页
N71 总结
For knowledge workers orchestrating a dozen AI agents. 🧠 Your context never sits still: decisions shift, deals move, priorities change by the hour. Yet every new chat starts blank, and no agent knows what the others already worked out. N71 gives them one shared context that stays current, connect your tools and it maintains a living knowledge graph they read from over MCP, updated the moment anything changes. Ask any agent anything, and it's already caught up. 🔗
N71 着陆页
比较详细信息
Struct 详细信息
| 类别 | AI智能体, AI开发者工具, AI助手, AI代码助手 |
| Struct 网站 | https://struct.ai?utm_source=toolify |
| 添加时间 | 2026年3月17日 |
| Struct 定价 | -- |
N71 详细信息
| 类别 | AI智能体, AI助手, AI知识库, AI知识管理 |
| N71 网站 | https://n71.ai?utm_source=toolify |
| 添加时间 | 2026年7月7日 |
| N71 定价 | -- |
使用情况比较
如何使用 Struct？
Integrate Struct with your existing observability stack (e.g., Sentry, Datadog) and communication tools like Slack. Struct will then automatically investigate engineering alerts as they occur, replying with a root cause, impact analysis, and suggested fix. Users can also @mention Struct to investigate issues on-demand.
如何使用 N71？
Start by signing in or getting started, then connect your sources and tools such as mail, calendar, documents, chats, and repos. Choose the right deployment tier for your needs, authorize MCP access, and let N71 maintain the shared knowledge graph. Your agents can then read the latest context, get cited answers, and work from the same live memory.
比较 Struct 和 N71 的优势
Struct的核心功能
- Automated root-cause analysis using logs, metrics, traces, and code
- Integration with leading observability platforms (Datadog, Sentry) and work tools (Slack, GitHub)
- One-click PR creation for fixes or handoff to coding agents
- On-call intelligence that improves over time from past investigations
- Secure by design with SOC2 Type II and HIPAA compliance
N71的核心功能
- Living knowledge graph that updates when information changes
- MCP access for Claude, ChatGPT, Cursor, and custom agents
- Proactive feed that surfaces changes before you ask
- Full provenance with source citations for every answer
- Granular permissions and audit trails for shared workspaces
- Cloud, managed, and sovereign deployment options
比较使用案例
Struct的使用案例
- Automating on-call runbooks to reduce manual triage
- Proactively investigating production bugs and engineering alerts
- Generating suggested fixes and PRs for identified incidents
N71的使用案例
- Keep multiple AI agents aligned on the latest company decisions and documents
- Share a trusted context layer across a team working in Claude, ChatGPT, or Cursor
- Monitor connected tools for changes and surface important updates proactively
- Deploy a governed memory system inside a regulated or air-gapped environment
Struct和N71的不同计划
Struct
$0/mo
100 credits/mo, Intelligent auto investigations, 1 user, Community support
$20/mo
220 credits/mo, Struct build agent, Up to 5 users, Dedicated Slack support
$200/mo
2,500 credits/mo, Priority queue & higher rate limits, Up to 25 users, Custom integrations
Contact us
Unlimited users, RBAC & SSO/SAML, Sidecar/on-prem support, Volume discounts
N71
$49/month
For one person and their agents. Includes 17 source types, MCP access from Claude/ChatGPT/Cursor, a proactive feed, and full provenance.
$250/month
Five seats included; $39/month per additional seat. Shared workspace with entity-level permissions, federated insights, and admin controls with a full audit trail.
From $2,000/month
Annual commitment. Includes dedicated deployment engineering, a per-organization ontology program, priority support, and quarterly architecture reviews.
Contact us
Air-gapped or jurisdiction-bound deployment with connected sovereign and air-gapped tiers, full governance, and in-boundary inference on sovereign-hostable models.
Struct的流量
Struct 是月访问量为 6.8K 且平均访问时长为 00:00:15 的工具。 Struct 的每次访问页数为 1.65，跳出率为 70.12%。
最新流量情况
| 月访问量 | 6.8K |
| 平均·访问时长 | 00:00:15 |
| 每次访问页数 | 1.65 |
| 跳出率 | 70.12% |
N71的流量
N71 是月访问量为 132 且平均访问时长为 00:10:45 的工具。 N71 的每次访问页数为 8.73，跳出率为 12.50%。
最新流量情况
| 月访问量 | 132 |
| 平均·访问时长 | 00:10:45 |
| 每次访问页数 | 8.73 |
| 跳出率 | 12.50% |
地理位置
Struct 的前 1 个国家/地区是：United States 100.00%
Top 1 国家/地区
 | 100.00% |
地理位置
N71 的前 1 个国家/地区是：Canada 100.00%
Top 1 国家/地区
 | 100.00% |
流量来源
Struct 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
流量来源
N71 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Struct 或 N71哪个更好？
Struct 可能比 N71 更受欢迎。如您所见，Struct 每月有 6.8K 次访问，而 N71 每月有 132 次访问。 所以更多的人选择了Struct。 因此，人们很可能会在社交平台上更多地推荐 Struct。
Struct 的平均访问持续时间为 00:00:15，而 N71 的平均访问持续时间为 00:10:45。 此外，Struct 的每次访问页面为 1.65，跳出率为 70.12%。 N71 的每次访问页面为 8.73，跳出率为 12.50%。
Struct 的主要用户是United States，分布如下：100.00%。
N71 的主要用户是 Canada，分布如下：100.00%。
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