# Openlayer

OpenAITools.app のテレメトリ（2026-11-11 検証）によると、Openlayer（openlayer.com）は AI テスト に分類される AI プラットフォームで、月間 4.84万 の訪問を生み出し、前月比のトラフィック増減は -3303（-6.4%）です。主要な地域市場は アメリカ合衆国（トラフィックシェア 44.1%）で、フリーミアム、料金は要問い合わせ の料金モデルで運営されています。 月間ボリューム別の主な競合代替ツールには PTE APEUni（月間 221.26万 訪問）, Prep Edu（月間 141.5万 訪問）, KaneAI（月間 90.13万 訪問） が含まれます。

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.

## 主なテレメトリと仕様

| 指標 | 値 |
| :--- | :--- |
| ツール名 | Openlayer |
| ハンドル | openlayer |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 公式ドメイン | openlayer.com |
| ウェブサイト URL | https://www.openlayer.com |
| カテゴリ | AI テスト, AI モニタリング, Large Language Models (LLMs), AI開発者ツール, AI Workflow, AI プロジェクト管理 |
| 料金モデル | フリーミアム、料金は要問い合わせ |
| 月間訪問数 | 48,415 |
| 前月比トラフィック変動 | -3,303 |
| 前月比成長率 | -6.4% |
| 主要市場 | アメリカ合衆国 |
| 市場シェア | 44.1% |
| ダイレクト訪問 | 25,940 |
| オーガニック検索訪問 | — |
| ソーシャル訪問 | — |
| リファラル訪問 | 1,939 |
| メール訪問 | 451 |
| レビュースコア | 4.4 |
| 保存数 | 1 |
| 対応プラットフォーム | ウェブサイト |
| 請求プラットフォーム |  |
| 属性 | 機能: ウェブサイト; 料金: フリーミアム; 料金: 料金は要問い合わせ |
| タグ | AI 評価, 可観測性, AIガバナンス, 機械学習テスト, AI モニタリング, LLMOps, MLOps, CI/CD, DevOps, データ品質, AI コンプライアンス |

## 概要

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.

## 料金とプラン

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.

## 主な機能と特長

- **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.

## 主なユースケース

- **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.

## 強み

- 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

## 制約・デメリット

- 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

## よくある質問

### 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 の月間トラフィックと成長トレンドはどうですか？
Openlayer は現在、月間 4.84万 の訪問があり、前月比のトラフィック変動は -3303（成長率 -6.4%）です。主要な流入市場は アメリカ合衆国（シェア 44.1%）で、月間 2.59万 のダイレクト訪問と月間 — のオーガニック検索訪問を含みます。

### Openlayer は無料ですか？料金モデルは何ですか？
Openlayer は フリーミアム、料金は要問い合わせ の料金モデルで運営されています。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. 対応する請求・チェックアウトプラットフォームには 未掲載 が含まれます。

### 2026年における Openlayer の最適な代替ツールはどれですか？
OpenAITools.app のカテゴリ別トラフィックと機能の適合性に基づくと、Openlayer の代替ツールトップ5は次のとおりです: 1. PTE APEUni（月間 221.26万 訪問）; 2. Prep Edu（月間 141.5万 訪問）; 3. KaneAI（月間 90.13万 訪問）; 4. Alfa PTE（月間 88.67万 訪問）; 5. AppDeploy（月間 82.95万 訪問）。

### Openlayer はどのプラットフォームと主要な AI 機能に対応していますか？
Openlayer は AI テスト, AI モニタリング, Large Language Models (LLMs), AI開発者ツール に分類され、以下のプラットフォームに対応しています: ウェブサイト。中核機能のタグには AI 評価, 可観測性, AIガバナンス, 機械学習テスト, AI モニタリング, LLMOps が含まれます。

## 代替ツール

| ツール名 | 月間訪問数 | 料金モデル | 比較 |
| :--- | :--- | :--- | :--- |
| [PTE APEUni](https://openaitools.app/ja/tool/apeuni-com) | 2,212,623 | 無料 | [比較](https://openaitools.app/ja/compare/apeuni-com-vs-openlayer) |
| [Prep Edu](https://openaitools.app/ja/tool/prep-edu) | 1,414,975 | 有料 | [比較](https://openaitools.app/ja/compare/openlayer-vs-prep-edu) |
| [KaneAI](https://openaitools.app/ja/tool/kaneai) | 901,340 | フリーミアム、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/kaneai-vs-openlayer) |
| [Alfa PTE](https://openaitools.app/ja/tool/alfapte) | 886,734 | フリーミアム | [比較](https://openaitools.app/ja/compare/alfapte-vs-openlayer) |
| [AppDeploy](https://openaitools.app/ja/tool/appdeploy) | 829,468 | Free to try | [比較](https://openaitools.app/ja/compare/appdeploy-vs-openlayer) |
| [Aikido Security](https://openaitools.app/ja/tool/aikido-security) | 757,491 | フリーミアム | [比較](https://openaitools.app/ja/compare/aikido-security-vs-openlayer) |
| [Jam](https://openaitools.app/ja/tool/jamgpt) | 570,598 | フリーミアム、有料 | [比較](https://openaitools.app/ja/compare/jamgpt-vs-openlayer) |
| [ERNIE Comate（文心快碼）](https://openaitools.app/ja/tool/ernie-comate) | 503,253 | フリーミアム | [比較](https://openaitools.app/ja/compare/ernie-comate-vs-openlayer) |
| [Hallo](https://openaitools.app/ja/tool/hallo-ai-language-learning) | 363,490 | 料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/hallo-ai-language-learning-vs-openlayer) |
| [Qase](https://openaitools.app/ja/tool/qase) | 319,213 | フリーミアム、無料トライアル、料金は要問い合わせ、無料 | [比較](https://openaitools.app/ja/compare/openlayer-vs-qase) |
| [Applitools Eyes](https://openaitools.app/ja/tool/applitools-eyes) | 159,934 | フリーミアム、無料トライアル、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/applitools-eyes-vs-openlayer) |
| [ProjectDiscovery Neo](https://openaitools.app/ja/tool/projectdiscovery-neo) | 158,530 | 有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/openlayer-vs-projectdiscovery-neo) |

## コミュニティ

Openlayer コミュニティ：AI テスト、ML モデル評価、可観測性について情報交換する場です。

[Openlayer](https://discord.gg/t6wS2g6MMB)

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出典: https://openaitools.app/ja/tool/openlayer