
NOAN is a fact infrastructure platform for agentic companies: it stores your company's verified, versioned facts in one place and serves them to every AI agent, app, and website over REST and MCP. Instead of agents guessing from stale memory or retrieval, they read the current, attributed version of the truth.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | firecrawl.dev | getnoan.com |
| 定价模式 | 免费增值,定价请咨询 | 付费 |
| 月访问量 | 182.82万 (1,828,239) | 3663 (3,663) |
| 月度环比流量变化 | -3.57万 (-1.9%) | -684 (-15.7%) |
| 主要市场与份额 | 🇺🇸 美国 (31.8%) | 🇺🇸 美国 (100%) |
| 直接访问 / 月 | 74.03万 | 1450 |
| 用户评分 | 4.7 | 4.4 |
| 支持的平台 | 网站 | 网站 |
把任意网站变成 AI 可直接使用数据的 Web 数据 API
多个接口覆盖来源发现、单页抽取、整站爬取和 URL 映射,一套 API 全搞定。
返回 Markdown、结构化 JSON、HTML、链接和截图,同时去除导航、广告与页脚以降低 token 消耗。
抓取后可依据提示词或代码执行点击、输入、滚动和跳转,获取交互后才出现的数据。
Python 与 Node SDK、REST API、CLI 和 MCP 服务器,让智能体和 IDE 几分钟内接入。

NOAN is a fact infrastructure platform for agentic companies: it stores your company's verified, versioned facts in one place and serves them to every AI agent, app, and website over REST and MCP. Instead of agents guessing from stale memory or retrieval, they read the current, attributed version of the truth.
Each fact keeps its date, sources, and the person who verified it, so nothing is silently overwritten and agents can show the receipt behind an answer.
Scope one key per agent, app, or site and limit it to the stacks it needs, so the right keys read the right facts and nothing else.
Turn review on for a project or a single key so any write an agent proposes waits for a human to verify it before it can be read.
See your entire fact base as it stood on any past date, so you can answer what was true when a decision was made.

专项更强拥有庞大的强大网络爬虫与 Actor 市场,但比 Firecrawl 简单的 API 需要更多配置。

Combines live web search and cloud browsers for agentic automation, but less specialized in clean markdown generation.

专项更强具备强大爬虫工具的企业级代理服务器基础设施,但若只是要简单转换 Markdown,复杂度和价格都明显高出许多。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.