Openlayer 记录了 48,415 月访问量，月度环比增长为 -6.4%，定价为免费增值，定价请咨询。Prolific 记录了 18,697,671 月访问量，增长率为 -1.8%，定价为付费。
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.
| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | openlayer.com | prolific.com |
| 定价模式 | 免费增值，定价请咨询 | 付费 |
| 月访问量 | 4.84万 (48,415) | 1869.77万 (18,697,671) |
| 月度环比流量变化 | -3303 (-6.4%) | -35.2万 (-1.8%) |
| 主要市场与份额 | 🇺🇸 美国 (44.1%) | 🇺🇸 美国 (48.8%) |
| 直接访问 / 月 | 2.59万 | 1297.97万 |
| 用户评分 | 4.4 | 4.6 |
| 支持的平台 | 网站 | 网站 |
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.
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.
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.
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.
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.
为 AI 训练、评估与研究提供高质量人类数据
按详细的人口统计、职业和行为条件筛选参与者，触达小众或具代表性的样本，而非泛泛的人群。
采集用于模型微调的人类偏好数据，开展安全性评估与红队测试，并通过反馈 API 把人工环节接入自动化流水线。
注意力检验、诚实度筛查和审批流程，帮助你在分析结果前剔除敷衍或欺诈性回答。
发布研究后能迅速开始收集回答，工具支持筛选条件、配额设定和纵向研究设计。
拥有庞大的市场调查消费者样本库，但缺乏 Prolific 对学术研究与 AI 调校的专门聚焦。
专项更强前沿 AI 训练所用的环境，以及负责重复性工作的智能体
专项更强SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
专项更强SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
专项更强提供经过验证的B2B专业人士和医疗专家用于专项研究，但缺乏广泛的普通人群学术调查小组。
免费 / 开源面向生产级 AI 的智能体可观测性、评估与持续改进平台
专项更强Mindgard is an AI security platform that performs attacker-style reconnaissance, automated red teaming, and continuous testing of AI models, agents, and applications to find and fix exploitable vulnerabilities.
免费 / 开源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
免费 / 开源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
免费 / 开源构建、模拟、评估并监控可自我改进的 AI 智能体
免费 / 开源Maxim AI is a platform for evaluating, testing, and monitoring AI applications, and the home of Bifrost, an open-source LLM gateway. It helps teams ship reliable AI features with tracing, evaluation, agent simulation, and production observability.
免费 / 开源Maxim AI is a platform for evaluating, testing, and monitoring AI applications, and the home of Bifrost, an open-source LLM gateway. It helps teams ship reliable AI features with tracing, evaluation, agent simulation, and production observability.
专项更强AI 工程团队的协作层
