Build Financial Analysis into Your Hermes AI Agent with the FMP Skill
Build Financial Analysis into Your Hermes AI Agent with the FMP Skill
通过 FMP 技能为您的 Hermes AI 智能体构建财务分析能力
The Problem: Building AI agents that can answer real-time financial questions is tough. You need reliable data sources, API integrations, and the right abstractions to make it seamless. That’s why the Hermes community just shipped something powerful: the Financial Modeling Prep (FMP) skill. Whether you’re building a financial chatbot, an investment research assistant, or an autonomous trading dashboard, you now have a plug-and-play skill that gives your Hermes AI agent instant access to professional-grade financial data.
问题所在:构建能够回答实时财务问题的 AI 智能体非常困难。你需要可靠的数据源、API 集成以及合适的抽象层来实现无缝对接。正因如此,Hermes 社区刚刚发布了一项强大的功能:Financial Modeling Prep (FMP) 技能。无论你是在构建财务聊天机器人、投资研究助手,还是自动交易仪表盘,现在都有了一个即插即用的技能,让你的 Hermes AI 智能体能够即时获取专业级的财务数据。
What Can You Do? The FMP skill connects Hermes to real-time market data across multiple asset classes:
- Stock quotes & fundamentals — real-time prices, company profiles, income statements
- Financial ratios — P/E ratios, dividend yields, debt-to-equity metrics
- Stock screeners — filter stocks by market cap, PE ratio, or custom criteria
- Crypto & forex prices — Bitcoin, Ethereum, EUR/USD, and more
- Market indices — CAC40, S&P 500, Nasdaq snapshots
- News & movers — trending stocks and market sentiment
你能做什么?FMP 技能将 Hermes 连接到跨多种资产类别的实时市场数据:
- 股票报价与基本面 — 实时价格、公司概况、损益表
- 财务比率 — 市盈率 (P/E)、股息收益率、债务权益比等指标
- 股票筛选器 — 按市值、市盈率或自定义标准筛选股票
- 加密货币与外汇价格 — 比特币、以太坊、欧元/美元等
- 市场指数 — CAC40、标普 500、纳斯达克快照
- 新闻与行情 — 热门股票与市场情绪
How It Works: The skill is built on a clean abstraction over Financial Modeling Prep’s stable API (v2025+):
def fmp(path, **params):
params["apikey"] = os.environ["FMP_API_KEY"]
qs = "&".join(f"{k}={v}" for k, v in params.items())
url = f"https://financialmodelingprep.com/stable/{path}?{qs}"
return json.loads(urllib.request.urlopen(url).read())
With this helper, querying data is one line:
# Get Apple's current stock price
price = fmp("quote", symbol="AAPL")
print(f"AAPL: ${price[0]['price']} ({price[0]['changesPercentage']:+.2f}%)")
工作原理:该技能基于 Financial Modeling Prep 的稳定 API (v2025+) 构建了一个简洁的抽象层: (代码见上文) 有了这个辅助函数,查询数据只需一行代码: (代码见上文)
Using It with Hermes: Setup is straightforward:
- Get an API key from financialmodelingprep.com
- Add it to your Hermes config (~/.hermes/.env):
FMP_API_KEY=your_key_here - Ask your agent — now you can ask natural questions like:
- “What’s the current price of Tesla?”
- “Show me the PE ratio for Microsoft”
- “Find stocks with market cap > $100B and PE < 15”
- “What’s Bitcoin trading at right now?” Hermes will automatically route these queries to the FMP skill and deliver formatted, contextual answers.
在 Hermes 中使用:设置非常简单:
- 从 financialmodelingprep.com 获取 API 密钥
- 将其添加到你的 Hermes 配置文件 (~/.hermes/.env) 中:
FMP_API_KEY=your_key_here - 询问你的智能体——现在你可以提出自然语言问题,例如:
- “特斯拉目前的股价是多少?”
- “显示微软的市盈率”
- “查找市值大于 1000 亿美元且市盈率小于 15 的股票”
- “比特币现在交易价格是多少?” Hermes 会自动将这些查询路由到 FMP 技能,并提供格式化、上下文相关的答案。
Why This Matters: Financial data is increasingly important for AI agents. This skill removes the friction of integrating FMP—you get:
- ✅ Standardized endpoints — no guessing which API version to use
- ✅ Error handling baked in — reliable queries that don’t break
- ✅ Community-maintained — open-source means transparency and improvements
- ✅ Production-ready — using stable API endpoints
为什么这很重要:财务数据对 AI 智能体而言日益重要。该技能消除了集成 FMP 的阻碍,你将获得:
- ✅ 标准化端点 — 无需猜测使用哪个 API 版本
- ✅ 内置错误处理 — 可靠的查询,不会轻易中断
- ✅ 社区维护 — 开源意味着透明度和持续改进
- ✅ 生产就绪 — 使用稳定的 API 端点
Get Started: The FMP skill is live in the hermes-skills repository. If you’re building financial AI agents, check it out and give the repo a ⭐ to support the project. Have ideas for other financial endpoints? PRs welcome—let’s build the financial data layer for AI agents together.
开始使用:FMP 技能现已在 hermes-skills 仓库中上线。如果你正在构建财务 AI 智能体,请查看该项目并给仓库点个 ⭐ 以示支持。对其他财务端点有想法吗?欢迎提交 PR——让我们一起为 AI 智能体构建财务数据层。