Integrate Financial Data with AI Agents
AI agent instantly answers team questions on market trends, stock prices, or company financials—right in Slack or Teams. Enhance your Financial Data workflows with AI-powered automation in Slack, Teams, and Discord.

Access to accurate, up-to-date financial insights is crucial for any fast-moving team dealing with investments, research, or business planning. By pairing Financial Data’s rich API with a Runbear AI agent, teams can retrieve, analyze, and share financial information directly within their everyday collaboration tools—such as Slack, Microsoft Teams, or Discord. This integration empowers your team to automate reporting, collaborate on investment decisions, and unlock smarter financial workflows via natural language—removing barriers between your data and your team’s productivity.
About Financial Data
Financial Data is a comprehensive API platform delivering accurate and extensive stock market and financial information. Its key features include in-depth historical coverage (over 20 years), up-to-date market data, company filings, insider trades, SEC-verified sources, and unique alternative datasets. Financial Data is designed for developers, analysts, and teams building financial tools or conducting investment research. Users rely on it for portfolio analysis, trading applications, and data-driven business decisions, valuing its quality, breadth, and seamless API access. The platform stands out by making sophisticated financial and alternative datasets accessible and actionable for technical and non-technical teams alike, powering both large-scale analytics and day-to-day decisions across finance, investing, consulting, and corporate strategy.
Use Cases in Practice
When you integrate Financial Data with an AI agent powered by Runbear, your team gains a 24/7 financial analyst embedded in your favorite communication platform. Let’s see how these use cases work in practice. Imagine your investment research team chatting in Slack, and a team member simply types, “Show me Tesla’s last quarter earnings trend.” Instantly, the AI agent retrieves structured earnings data from Financial Data, generates a visualization, and posts it to the channel for immediate discussion—no need to download reports or open another tool. Need a daily summary of S&P 500 movers every morning? Schedule your AI agent to deliver a concise, tailored snapshot at 8am, complete with visual charts and highlight narratives. When questions arise, anyone on the team can query the agent for company fundamentals or news, getting trusted answers backed by Financial Data’s authoritative sources. This democratizes data access, deepens team collaboration, and ensures your organization always acts on the latest financial intelligence. For teams looking to do more with their data, similar results have been achieved by other teams using Runbear; see Instantly Query Excel Reports in Slack—No More Manual Data Checks and Simplify Your Business Analytics to understand how generative AI automation powers smarter reporting and discussion.
Financial Data vs Financial Data + AI Agent: Key Differences

Integrating Financial Data with Runbear AI agents transforms how teams interact with financial information. Instead of tediously logging into dashboards, exporting datasets, or writing SQL, teams can simply ask questions and automate workflows right where collaboration happens—Slack, Teams, or Discord. AI agents handle data searching, analysis, and reporting, making the shift from manual to automated, truly conversational finance insights.
Implementation Considerations
Integrating Financial Data into team workflows doesn’t happen overnight. Teams should anticipate upfront setup—linking Financial Data to Runbear, configuring API credentials, and mapping relevant datasets for your workflows. User onboarding and training are vital for getting team members comfortable with querying financial data using natural language. Managing permissions and data governance remains essential: ensure employees can only access the financial information they’re authorized to view through team chat. There may be costs for premium data or API usage tied to Financial Data’s tiers. Change management also plays a role; shifting from traditional reporting to conversational AI requires both tech readiness and process alignment. Success depends on championing clear documentation, maintaining oversight on AI agent actions, and encouraging feedback loops to optimize coverage and accuracy.
Get Started Today
AI agents are transforming how teams access and collaborate on financial insights. By combining Financial Data with a Runbear AI agent, teams gain unprecedented speed, accessibility, and automation—turning complex queries into instant, actionable answers and automated reports. While some implementation effort is needed, the benefits far outweigh the initial lift. Try integrating Financial Data into your team chat with Runbear today and empower your team to move faster, collaborate smarter, and make better financial decisions—directly where the conversation happens.