AI + 实时数据 · 问博主战绩或股票
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用 MCP 直连你的 AI 客户端
端点(粘进 MCP 客户端 · 匿名免费,免 key)
https://mcp.koalcheck.com/mcp
或复制这段发给你的 AI,让它自动接入:

把 "koalcheck" MCP 服务器加到我的客户端并连接。它是远程 Streamable-HTTP 服务器,地址 https://mcp.koalcheck.com/mcp——匿名直连即可,不用填 API key、不用登录(免费工具直接可用)。如果我的客户端支持直接填远程/HTTP MCP,就用这个 URL。如果我的客户端配置只接受本地命令(比如 Claude Desktop 的 mcpServers 不认纯 "url"),就用 mcp-remote 桥接:command 填 "npx",args 填 ["-y","mcp-remote","https://mcp.koalcheck.com/mcp"]。然后提示我彻底重启客户端,并列出你能调用的 koalcheck 工具。它提供美股研究工具,核心是分析师战绩引擎(谁真的判对过、按 SPY 点对点计价、与 SEC 和 FINRA 交叉验证)。

能力使用指南
← @rihardjarc

$AMZN亚马逊

看多2026-10-09
喊单前后价格走势
↑ 2026-10-09
各周期结果成熟中 · 约 11 个交易日后揭晓
1d
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5d
✓ +2.6%
21d
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原帖
Rihard Jarc · 2026-10-09

$AMZN AWS CEO just shared some important details on AI usage on the a16z podcast. The key point is that AWS is more skewed toward inference and has lower exposure to frontier labs (so a healthier, more diversified workload base). Some of his comments: 1. Compared to some other hyperscalers and neoclouds, AWS's exposure to a single frontier model provider is only in the single digits %, while some others are in the 30-60% range. 2. Most of the usage on AWS today is core compute, storage, and inference, which they believe is durable (so less training than others) 3. AWS says YES to around 60% of compute requests and is planning to buy 2M GPUs in the next couple of years. 4. I found it interesting as he mentioned during the talk that because of AWS Bedrock and the OAI partnership: "That i

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