A developer built a free tool called Equibles that feeds live financial data directly to AI chatbots and local AI models. The system lets AI assistants access real stock prices, SEC filings, insider trading records, and economic data without needing internet connections or paid subscriptions.
This solves a big problem with running AI models locally – they usually can’t access current information. Most AI chatbots are stuck with old training data and can’t browse the web for fresh financial news or market data.
No Middleman Required
Equibles works differently than typical financial data services. Instead of paying for expensive API access or relying on cloud services, it runs entirely on your own computer. The tool scrapes public financial data from government sources like the SEC and Federal Reserve, then serves it up in a format that AI models can easily understand.
The system includes everything from basic stock prices to complex regulatory filings. It can pull insider trading records, congressional stock trades, short selling data, and economic indicators. All of this information gets formatted so AI assistants like Claude or local models can analyze it and answer financial questions.
Developer Daniel APO released the project as open-source software, meaning anyone can download and modify it for free. The tool uses something called MCP (Model Context Protocol) to communicate with AI systems.
What This Means
This could make financial AI analysis more accessible to individual investors and small businesses who can’t afford expensive Bloomberg terminals or professional data feeds. Instead of paying thousands monthly for financial data, users can now give their AI assistants access to the same public information for free.
