# Openlayer 依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，Openlayer（openlayer.com）是收錄於 AI 測試的 AI 平台，每月產生 4.84萬次造訪，月流量變化量為 -3303（-6.4%）。其主要地理市場為美國（流量佔比 44.1%），並採用免費增值、需聯絡報價定價模式。依每月流量計算的主要競爭替代方案包括 Maxim AI（每月 12.14萬次造訪），Confident AI（每月 8.34萬次造訪），Fiddler AI（每月 4.42萬次造訪）。 Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs. ## 主要觀測資料與規格 | 指標 | 數值 | | :--- | :--- | | 工具名稱 | Openlayer | | 代稱 | openlayer | | Status | active | | Origin | independent | | Maintenance | active | | 官方網域 | openlayer.com | | 網站網址 | https://www.openlayer.com | | 分類 | AI 測試, AI 監控, Large Language Models (LLMs), AI 開發者工具, AI Workflow, AI 專案管理 | | 定價模式 | 免費增值、需聯絡報價 | | 每月造訪次數 | 48,415 | | 月流量變化 | -3,303 | | 月成長率 | -6.4% | | 主要市場 | 美國 | | 市佔率 | 44.1% | | 直接造訪 | 25,940 | | 自然搜尋造訪 | — | | 社群造訪 | — | | 推薦流量造訪 | 1,939 | | 電子郵件造訪 | 451 | | 評論分數 | 4.4 | | 收藏數 | 1 | | 支援平台 | 網站 | | 帳務平台 | | | 屬性 | 功能: 網站; 價格: 免費增值; 價格: 需聯絡報價 | | 標籤 | AI 評估, 可觀測性, AI 治理, 機器學習測試, AI 監控, LLMOps, MLOps, CI/CD, DevOps, 資料品質, AI 合規 | ## 總覽 Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs. ## 價格與方案 Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding. ## 關鍵功能與能力 - **AI test library and custom evals:** Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data. - **CI/CD regression testing:** Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define. - **Observability, tracing, and cost analytics:** Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis. - **Governance registry and lifecycle gates:** Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production. - **Compliance mapping and audit evidence:** Built-in frameworks such as the EU AI Act and NIST AI RMF turn policy into tracked rules, so you can see progress per project and export the evidence regulators and auditors ask for. ## 主要使用情境 - **Block regressions before release (ML and AI engineer):** Wire Openlayer's eval suite into your CI pipeline so every prompt, model, or retrieval change is benchmarked automatically and a quality or safety regression fails the build instead of reaching users. - **Get a real inventory of AI in use (AI platform lead):** Use automatic shadow-AI detection and a central registry to find every model, agent, and copilot running across departments, then assign owners and risk tiers so nothing runs unaccounted for. - **Produce audit-ready evidence (Risk and compliance officer):** Map systems to frameworks like the EU AI Act or NIST AI RMF, track rule completion per project, and export compliance reports when regulators, auditors, or customers ask how a system was controlled. - **Monitor live agents in production (Support and product operations):** Trace real conversations, watch toxicity, hallucination, and unauthorized tool-call metrics on a schedule, and get alerted when production quality drifts so you can fix it before customer impact grows. ## 優勢 - Covers the full loop from pre-release testing to production monitoring and governance in one platform - Strong compliance and risk-mapping capability built for regulated industries - Generous free Basic plan makes evaluation tooling accessible to small teams - CI/CD integration lets quality gates block releases automatically - Enterprise options include on-premise deployment, SAML SSO, and a 99.99% SLA ## 限制 - Enterprise pricing is custom-quoted, so costs are not transparent up front - Compliance reporting and the deepest governance features sit behind the Enterprise plan - The breadth of layers can be a lot to adopt at once for teams that only need basic evals - Small free plan limits (one member, five projects) make it a try-it tier rather than a team plan ## 常見問題 ### What does Openlayer actually do? It is an AI governance and observability platform. Teams use it to inventory AI systems, register and risk-tier them, run evaluation suites before deployment, monitor live behavior in production, and generate compliance evidence for frameworks such as the EU AI Act. ### Is there a free plan? Yes. The Basic plan is free and includes one member, five projects, 20,000 requests per month, three months of data retention, the test library, CI/CD integration, observability, alerting, API access, and community support via Discord. ### How much does the Enterprise plan cost? Enterprise is custom-quoted rather than priced per seat. Cost depends on inference volume, deployment requirements such as on-premise or air-gapped hosting, security needs, and support level, so you discuss scope with the Openlayer team. ### Which models and frameworks does it support? Openlayer works across major LLM and agent stacks, integrates with common development kits and repository tooling, and includes evaluation templates and governance mappings for regulatory frameworks like the EU AI Act and risk frameworks such as NIST AI RMF. ### Can I self-host Openlayer? Yes, on-premise deployment is part of the Enterprise plan, which matters for organizations with strict data residency rules or air-gapped environments. ### Openlayer 的每月流量與成長趨勢為何？ Openlayer 目前每月有 4.84萬次造訪，月流量變化為 -3303（成長率 -6.4%）。其主要來源市場為美國（佔比 44.1%），其中包含每月 2.59萬次直接造訪與每月 — 次自然搜尋造訪。 ### Openlayer 是免費的嗎？其定價模式為何？ Openlayer 採用免費增值、需聯絡報價定價模式。Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding. 支援的帳務與結帳平台包括：未列出。 ### 2026 年最佳的 Openlayer 替代方案有哪些？ 依據 OpenAITools.app 的分類流量與功能契合度，Openlayer 的前五大替代方案為：1. Maxim AI（每月 12.14萬次造訪）; 2. Confident AI（每月 8.34萬次造訪）; 3. Fiddler AI（每月 4.42萬次造訪）; 4. Arize AI（每月 24.9萬次造訪）; 5. Future AGI（每月 12.17萬次造訪）。 ### Openlayer 支援哪些平台與核心 AI 能力？ Openlayer 分類於 AI 測試, AI 監控, Large Language Models (LLMs), AI 開發者工具，支援以下平台：網站，其核心能力標籤包括：AI 評估, 可觀測性, AI 治理, 機器學習測試, AI 監控, LLMOps。 ## 替代方案 | 工具名稱 | 每月造訪次數 | 定價模式 | 比較 | | :--- | :--- | :--- | :--- | | [Maxim AI](https://openaitools.app/tw/tool/maxim-ai) | 121,351 | Contact for Pricing, Free Open Source | [比較](https://openaitools.app/tw/compare/maxim-ai-vs-openlayer) | | [Confident AI](https://openaitools.app/tw/tool/confident-ai) | 83,400 | 免費增值、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/confident-ai-vs-openlayer) | | [Fiddler AI](https://openaitools.app/tw/tool/fiddler-ai) | 44,204 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/fiddler-ai-vs-openlayer) | | [Arize AI](https://openaitools.app/tw/tool/arize-com) | 249,028 | 付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/arize-com-vs-openlayer) | | [Future AGI](https://openaitools.app/tw/tool/future-agi) | 121,741 | Freemium, Usage-based | [比較](https://openaitools.app/tw/compare/future-agi-vs-openlayer) | | [PromptLayer](https://openaitools.app/tw/tool/promptlayer) | 85,899 | 免費試用、需聯絡報價 | [比較](https://openaitools.app/tw/compare/openlayer-vs-promptlayer) | | [Monitaur](https://openaitools.app/tw/tool/monitaur) | 4,463 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/monitaur-vs-openlayer) | | [Mindgard](https://openaitools.app/tw/tool/mindgard) | 153,455 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/mindgard-vs-openlayer) | | [honeyhive.ai](https://openaitools.app/tw/tool/honeyhive-ai) | 8,835 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/honeyhive-ai-vs-openlayer) | | [Credo AI](https://openaitools.app/tw/tool/credo-ai) | 34,027 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/credo-ai-vs-openlayer) | | [Athina AI](https://openaitools.app/tw/tool/athina-ai) | 6,917 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/athina-ai-vs-openlayer) | | [Middleware](https://openaitools.app/tw/tool/middleware) | 35,967 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/middleware-vs-openlayer) | ## 社群 Openlayer 社群：圍繞 AI 測試、機器學習模型評估與可觀測性的交流空間。 [Openlayer](https://discord.gg/t6wS2g6MMB) --- 來源：https://openaitools.app/tw/tool/openlayer