Arize AI VS Spanly
Arize AI VS Spanly对比，Arize AI 和 Spanly 有什么区别？
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总结
Arize AI 总结
Arize AI 着陆页
Spanly 总结
Soon, more agents than humans will use your product via MCP. Spanly gives you full observability on the MCP server you ship: error rates, session traces, latency, client analytics, deploy alerts. Drop-in CLI or SDK. US & EU data residency. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you already run.
Spanly 着陆页
比较详细信息
Arize AI 详细信息
| 类别 | 大语言模型 LLMs, AI智能体, AI监控, AI开发者工具, 开源AI模型 |
| Arize AI 网站 | https://arize.com?utm_source=toolify |
| 添加时间 | 2024年4月7日 |
| Arize AI 定价 | -- |
Spanly 详细信息
| 类别 | 大语言模型 LLMs, AI监控, AI开发者工具 |
| Spanly 网站 | https://www.spanly.com?utm_source=toolify |
| 添加时间 | 2026年6月30日 |
| Spanly 定价 | -- |
使用情况比较
如何使用 Arize AI？
Integrate Arize AX with your AI development and production pipelines using OpenTelemetry for seamless visibility. Use the platform to trace prompts, variables, tool calls, and agents, debug faster, and automate AI evaluation at every stage.
如何使用 Spanly？
To use Spanly, you can integrate it into your MCP server by dropping the open-source SDK into your TypeScript or Python code, wrapping your server binary using the Spanly CLI, or deploying it as a Docker sidecar. Once configured with your API key, it automatically captures and traces all MCP-shaped traffic, allowing you to view analytics, errors, and session traces directly via the web dashboard or from your IDE using Spanly's built-in MCP server.
比较 Arize AI 和 Spanly 的优势
Arize AI的核心功能
- GenAI Tracing
- Evaluation
- Production Monitoring
- Prompt & Evaluation IDE
- Annotations & Labeling
Spanly的核心功能
- Protocol-aware tracing capturing full JSON-RPC payloads (arguments, results, errors)
- Real-time session tracking grouping requests end-to-end
- Comprehensive performance metrics broken down by p50, p95, and p99 durations
- Automated error tracking and grouping across servers and clients
- US & EU regional data residency options with GDPR-friendly architecture
- IDE integration allowing engineers to search traces and triage errors from tools like Claude Code or Cursor
比较使用案例
Arize AI的使用案例
- Accelerate AI app and agent development
- Perfect AI models in production
- Debug AI models faster
- Automate AI evaluation at every stage
- Monitor AI models in real-time
Spanly的使用案例
- Monitoring production MCP server error rates and performance bottlenecks
- Debugging failing tool calls by inspecting full payload arguments and response details directly
- Tracking down bad deployments by splitting performance metrics out by server and client versions
- Correlating AI agent interactions and sessions across complex multi-turn tool calling workflows
Arize AI和Spanly的不同计划
Arize AI
$50
per month for 3 users, Up to 2 models or apps
Custom pricing
Custom number of models or apps, For teams with advanced needs or global scale
Spanly
$0/mo
100,000 MCP requests included (soft cap with sampling). Includes 30 days data retention, 2 seats, and multi-region ingestion. Designed for teams evaluating Spanly on a single server.
$41/mo
Billed annually at $492. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 90 days data retention, unlimited seats, up to 10 alert rules, and public dashboards.
$210/mo
Billed annually at $2,520. Includes 100,000 MCP requests (overage from $6.00/100k decreasing with volume), 12 months data retention, unlimited seats, up to 100 alert rules, public dashboards, SAML & OIDC single sign-on, audit logs, and priority support.
$125/mo
Locked for 12 months for the 2026 cohort. Includes 1,000,000 requests, all Business features, a direct Slack Connect channel with the founder, roadmap input, and early access to new features in exchange for a monthly feedback call.
Custom Pricing
For volumes above 30M requests/month. Offers a custom per-request rate below $5.00/100k, dedicated support, and custom retention configurations.
Arize AI的流量
Arize AI 是月访问量为 248.1K 且平均访问时长为 00:01:03 的工具。 Arize AI 的每次访问页数为 2.92，跳出率为 41.27%。
最新流量情况
| 月访问量 | 248.1K |
| 平均·访问时长 | 00:01:03 |
| 每次访问页数 | 2.92 |
| 跳出率 | 41.27% |
Spanly的流量
Spanly 是月访问量为 0 且平均访问时长为 00:00:00 的工具。 Spanly 的每次访问页数为 0.00，跳出率为 0.00%。
最新流量情况
| 月访问量 | 0 |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 0.00 |
| 跳出率 | 0.00% |
地理位置
Arize AI 的前 5 个国家/地区是：United States 23.37%, India 9.33%, China 5.04%, Ireland 3.30%, United Kingdom 3.15%
Top 5 国家/地区
 | 23.37% |
 | 9.33% |
 | 5.04% |
 | 3.30% |
 | 3.15% |
地理位置
对不起，没有数据
流量来源
Arize AI 的 6 个主要流量来源是：vs_sourcesSearchOrganic 44.25%, 直接访问 33.50%, 外链引荐 6.92%, vs_sourcesSocialOrganic 4.91%, vs_sourcesSearchPaid 4.08%, vs_sourcesGenAi 3.43%, 邮件 1.86%, vs_sourcesDisplayAds 0.80%, vs_sourcesSocialPaid 0.26%, vs_sourcesAffiliate 0.00%
vs_sourcesSearchOrganic | 44.25% |
直接访问 | 33.50% |
外链引荐 | 6.92% |
vs_sourcesSocialOrganic | 4.91% |
vs_sourcesSearchPaid | 4.08% |
vs_sourcesGenAi | 3.43% |
邮件 | 1.86% |
vs_sourcesDisplayAds | 0.80% |
vs_sourcesSocialPaid | 0.26% |
vs_sourcesAffiliate | 0.00% |
流量来源
Spanly 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 |
Arize AI 或 Spanly哪个更好？
Arize AI 可能比 Spanly 更受欢迎。如您所见，Arize AI 每月有 248.1K 次访问，而 Spanly 每月有 0 次访问。 所以更多的人选择了Arize AI。 因此，人们很可能会在社交平台上更多地推荐 Arize AI。
Arize AI 的平均访问持续时间为 00:01:03，而 Spanly 的平均访问持续时间为 00:00:00。 此外，Arize AI 的每次访问页面为 2.92，跳出率为 41.27%。 Spanly 的每次访问页面为 0.00，跳出率为 0.00%。
Arize AI 的主要用户是United States, India, China, Ireland, United Kingdom，分布如下：23.37%, 9.33%, 5.04%, 3.30%, 3.15%。
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