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Automate the web in your app or agent, no browser to host - Give /automate a task in plain Engli...
分析结论要核对数据来源、口径和样本范围，避免只看图表不看定义。
AI 工具链诊断
根据你的测评结果，这个工具适合各阶段阶段的用户
该工具包含多个高阶工作流，特别是在配合其他自动化工具时能产生巨大的生产力提升... (剩余 840 字及实战视频演示已隐藏，请注册后查看)
开源产品分析平台，适合埋点、漏斗、留存、实验、会话回放和产品增长诊断。
产品分析和用户行为分析平台，适合增长运营、漏斗分析、留存分析和数据驱动决策。
One API to scrape, enrich, and extract the internet - Context.dev is the web context API for AI products and agents. Scrape any URL, crawl sites, turn pages into LLM-ready Markdown, extract structured data into your own schema, capture screenshots, and retrieve logos, colors, fonts, styleguides, company data, and transaction enrichment through one API. YC-backed, no card required, and built so developers or coding agents can integrate in minutes.
Web browser automation for AI agents - BrowserAct is built for agents using the web. It gives agents a browser layer for real websites, so they can pass blocked pages, adapt to real scenarios, run multiple tasks safely, and return clean web data for reasoning. Use BrowserAct when an agent needs to browse, click, extract, fill forms, upload files, work inside logged-in sites, handle verification, or run repeatable browser workflows.
A publishing API for agents to post on 10 social platforms - Publora is a publishing API for 10 social platforms. One REST API call handles multi-network distribution — no SDKs, no OAuth wiring. The native MCP server with 18 tools gives AI agents like Claude and Cursor a full engagement loop: post, comment, react, pull analytics — across LinkedIn, X, Instagram, Threads, TikTok, YouTube, Facebook, Bluesky, Mastodon, and Telegram
Evaluate AI agent, pinpoint issues, and fix with one click. - Evaluate AI agents before they fail. Create test suites, run evaluations, and pinpoint issues before they reach production. AgentX provides full observability and traceability for your AI agents. AI analysis not only identifies problems but also suggests fixes-like an AI doctor for your agents. Simulate run your agents across multiple LLM providers to compare performance, cost, and latency, helping you make better decisions about which LLM to go. Run eval before deploy. Like CI/CD for AI agents.
