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Vivgrid is a managed platform for building and operating AI agents in production. Its core idea is Managed Skills: serverless LLM function calling that runs your agent tools in the cloud, decoupled from the client so prompts, models, and tools can be updated server-side without shipping a new app release. Around that, Vivgrid bundles observability, debugging, evaluation, safety guardrails, orchestration, and globally distributed inference.
| 面向／指標 |  | |
|---|---|---|
| 官方網域 | hex.tech | vivgrid.com |
| 定價模式 | 免費增值、免費試用、付費、需聯絡報價、免費 | 免費增值 |
| 每月造訪次數 | 78.27萬 (782,737) | 3743 (3,743) |
| 月流量變化量 | +7.66萬 (+10.8%) | +1556 (+71.1%) |
| 主要市場與市佔 | 🇺🇸 美國 (64.1%) | 🇺🇸 美國 (45.9%) |
| 每月直接造訪 | 62.18萬 | 1479 |
| 使用者評分 | 4.7 | 4.2 |
| 支援平台 | 網站 | 網站 |
把問題轉化為可信、可治理答案的 agentic 資料分析平台
用自然語言提問，獲得帶推理過程的答案以及背後的 SQL、圖表與表格，可在 Hex 工作台、Slack 及開發工具中呼叫。
在同一專案中並行撰寫 SQL、Python 與 R，再把儲存格變成可互動、可參數化的資料應用與儀表板，無需另備 BI 製作工具。
集中管理指標、語意與企業定義，讓答案保持一致；同時明確顯示 agent 缺乏依據的位置，便於修復。
對 agent 執行帶評分規準的測試集，衡量答案品質，並在資料與脈絡演進時第一時間發現品質回退。
Vivgrid is a managed platform for building and operating AI agents in production. Its core idea is Managed Skills: serverless LLM function calling that runs your agent tools in the cloud, decoupled from the client so prompts, models, and tools can be updated server-side without shipping a new app release. Around that, Vivgrid bundles observability, debugging, evaluation, safety guardrails, orchestration, and globally distributed inference.
Serverless LLM function calling hosted in the cloud, so agent tools are decoupled from client releases and update instantly for every agent.
Full visibility into every prompt, tool call, and decision so you can locate the exact step where an agent interaction went wrong.
Catch regressions before they reach customers and keep agents on-brand and on-policy with built-in safety rules.
Framework-agnostic access to GPT, Claude, Gemini, and DeepSeek families served from globally distributed providers for low latency.
高可信前沿推論，端到端加密
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免費 / 開源Mastra is an open-source TypeScript framework for building, deploying, and observing AI agents and workflows. It gives JavaScript developers typed agents, durable workflows, memory, MCP tool support, and built-in observability so prototypes can scale into production.
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