Scorecard VS Polygres
Scorecard VS Polygres对比，Scorecard 和 Polygres 有什么区别？
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总结
Scorecard 总结
Scorecard 着陆页
Polygres 总结
Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!
Polygres 着陆页
比较详细信息
Scorecard 详细信息
| 类别 | AI开发者工具, AI智能体, AI测试, 大语言模型 LLMs, AI生产力工具 |
| Scorecard 网站 | https://www.scorecard.io?utm_source=toolify |
| 添加时间 | 2025年10月20日 |
| Scorecard 定价 | -- |
Polygres 详细信息
| 类别 | AI开发者工具, AI智能体, AI知识图谱, 人工智能接口, AI搜索引擎 |
| Polygres 网站 | https://polygres.com?utm_source=toolify |
| 添加时间 | 2026年8月26日 |
| Polygres 定价 | -- |
使用情况比较
如何使用 Scorecard？
Scorecard allows users to test the performance of their AI agents against vetted metrics, create experiments to quickly test ideas in an AI laboratory, and manage/deploy agents to production. It facilitates a continuous feedback loop by connecting development, testing, and production environments, enabling users to see how models perform with real user requests. Users can gain live observability, version and store prompts, create trustworthy metrics, and validate performance through structured tests.
如何使用 Polygres？
Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.
比较 Scorecard 和 Polygres 的优势
Scorecard的核心功能
- Evaluate and test AI agent performance against vetted metrics
- Continuous evaluation and live observability of AI behavior
- Version and store best-performing prompts in one place
- Create and customize trustworthy metrics for business needs
- Run structured tests for clear, actionable insights
Polygres的核心功能
- Unified relational, graph, vector, and full-text retrieval
- Native graph traversal over existing PostgreSQL foreign keys
- Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
- Token-ready context assembly for grounded AI agents
- Shortest-path, neighborhood, relationship, and multi-hop graph queries
- Managed cloud hosting and open-source self-hosting
- PostgreSQL-native data retrieval without a separate vector store or sync pipeline
比较使用案例
Scorecard的使用案例
- Building and testing LLM applications for predictable AI experiences
- Identifying and addressing real-world usage issues in AI agents
- Optimizing AI agent performance with fast feedback loops
- Managing and deploying AI agents to production confidently
- Creating a continuous feedback loop between AI development, testing, and production
Polygres的使用案例
- Build grounded AI agents that retrieve customer records, orders, tickets, and related history
- Investigate failed transactions by combining semantic search with order, payment, and dispute relationships
- Create user-memory systems that retrieve relevant past interactions and connected data
- Query Wikipedia-scale datasets using hybrid indexes and graph relationships
- Provide support agents with ranked, database-backed context
- Develop recommendation and discovery systems using existing PostgreSQL data
Scorecard和Polygres的不同计划
Scorecard
$0/Month
Essential evaluations for early-stage AI projects. Unlimited users, 100,000 scores.
$299/Month
Reliable AI evaluations for startups and mid-sized companies. Unlimited users, includes 1M scores/mo, then $1 per 5K. Test set management, prompt playground access, priority support.
Customized Pricing
Custom solutions for large-scale AI deployments. Everything in Growth, SAML single sign-on (SSO) & authentication management, SOC 2 compliance reporting, end-to-end data encryption (including at rest), 24/7 VIP support, volume-based usage discounts, customizable contract terms.
Polygres
$0 / forever
Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.
$16 / month
Managed cloud database hosting with email and community Discord support. Currently free for now.
$256 / month minimum usage
Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.
$4,096 / month minimum usage
Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.
Scorecard的流量
Scorecard 是月访问量为 7.1K 且平均访问时长为 00:00:12 的工具。 Scorecard 的每次访问页数为 1.51，跳出率为 59.43%。
最新流量情况
| 月访问量 | 7.1K |
| 平均·访问时长 | 00:00:12 |
| 每次访问页数 | 1.51 |
| 跳出率 | 59.43% |
Polygres的流量
Polygres 是月访问量为 11.6K 且平均访问时长为 00:00:12 的工具。 Polygres 的每次访问页数为 1.40，跳出率为 92.09%。
最新流量情况
| 月访问量 | 11.6K |
| 平均·访问时长 | 00:00:12 |
| 每次访问页数 | 1.40 |
| 跳出率 | 92.09% |
地理位置
Scorecard 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
Polygres 的前 1 个国家/地区是：United States 100.00%
Top 1 国家/地区
| 100.00% |
流量来源
Scorecard 的 6 个主要流量来源是：直接访问 34.77%, vs_sourcesSearchOrganic 28.41%, vs_sourcesSocialOrganic 14.46%, 外链引荐 9.23%, 邮件 5.88%, vs_sourcesDisplayAds 2.41%, vs_sourcesAffiliate 1.92%, vs_sourcesGenAi 1.27%, vs_sourcesSearchPaid 1.12%, vs_sourcesSocialPaid 0.54%
直接访问 | 34.77% |
vs_sourcesSearchOrganic | 28.41% |
vs_sourcesSocialOrganic | 14.46% |
外链引荐 | 9.23% |
邮件 | 5.88% |
vs_sourcesDisplayAds | 2.41% |
vs_sourcesAffiliate | 1.92% |
vs_sourcesGenAi | 1.27% |
vs_sourcesSearchPaid | 1.12% |
vs_sourcesSocialPaid | 0.54% |
流量来源
Polygres 的 6 个主要流量来源是：直接访问 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 外链引荐 5.27%, 邮件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接访问 | 57.14% |
vs_sourcesSocialOrganic | 21.37% |
vs_sourcesSearchOrganic | 13.47% |
外链引荐 | 5.27% |
邮件 | 2.75% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Scorecard 或 Polygres哪个更好？
Polygres 可能比 Scorecard 更受欢迎。如您所见，Scorecard 每月有 7.1K 次访问，而 Polygres 每月有 11.6K 次访问。 所以更多的人选择了Polygres。 因此，人们很可能会在社交平台上更多地推荐 Polygres。
Scorecard 的平均访问持续时间为 00:00:12，而 Polygres 的平均访问持续时间为 00:00:12。 此外，Scorecard 的每次访问页面为 1.51，跳出率为 59.43%。 Polygres 的每次访问页面为 1.40，跳出率为 92.09%。
Scorecard 的主要用户是United States，分布如下：100.00%。
Polygres 的主要用户是 United States，分布如下：100.00%。
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