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Automate Bitquery workflows with AI Agents

AI agents let teams query Bitquery data right inside Slack using natural language—no technical skills required. Enhance your Bitquery workflows with AI-powered automation in Slack, Teams, and Discord.

Instant Blockchain Query in Slack
AI agents let teams query Bitquery data right inside Slack using natural language—no technical skills required.
Scheduled Crypto Trend Reports
Teams receive automated blockchain market updates and token analytics from Bitquery, posted by AI agents on a set schedule.
On-Demand Compliance Data Retrieval
Request on-chain money flows or transaction traces anytime in team chat—AI agents fetch Bitquery insights instantly.
Collaborative Token Monitoring Dashboards
AI agents generate and share visual charts on token activity from Bitquery, keeping the whole team informed in Slack.
Automate Your Bitquery Workflows with AIStart your free trial and see the difference in minutes.

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Bitquery delivers robust blockchain data infrastructure, powering analytics and applications across the crypto economy. But what happens when Bitquery’s powerful data meets Runbear’s AI agents, embedded in the very heart of team communication tools? Teams can now unlock the full potential of blockchain intelligence—right from Slack, Teams, or Discord—effortlessly automating research, compliance checks, and reporting with just a message. In this article, we’ll explore how smart AI agents, powered by Runbear, transform Bitquery from a developer tool into a collaborative team superpower.

About Bitquery

Bitquery is an enterprise-grade blockchain data provider offering APIs, analytics, and cloud integrations for accessing and processing real-time and historical data across more than 40 major blockchains—including Ethereum, Bitcoin, and Solana. Bitquery’s tools empower developers, crypto startups, financial analysts, and compliance teams to build Web3 products, extract actionable insights, and monitor the decentralized ecosystem. Core features include GraphQL and SQL APIs, live and archived DEX trading data, money flow visualizations, and seamless integration with prominent cloud platforms. Teams typically adopt Bitquery when they need reliable, wide-reaching access to blockchain data for analytics, due diligence, product development, or market intelligence projects. Its market position as both a technical backbone and a data insights provider makes it essential for organizations operating in crypto, DeFi, compliance, and financial services.

Use Cases in Practice

Each of the following use cases showcases how combining the power of Bitquery’s blockchain APIs with Runbear’s AI agents reshapes the way teams access, analyze, and share critical Web3 insights. Imagine a crypto research team instantly querying wallet activity within their Slack channel—no scripting or portal logins required. Compliance teams can ask for a money flow analysis in plain English and have the AI agent fetch structured results on demand. Whether it's an investment desk automating end-of-day token reports or product managers monitoring key DEX trades, the AI agent acts as a 24/7 teammate, bridging the gap between technical blockchain data and actionable business insights. With scheduled summaries, real-time charting, and effortless Q&A, teams of all sizes—from fintech startups to enterprise blockchain divisions—can operate at their smartest with frictionless Bitquery workflows. For comparison, teams who previously relied on platforms like Airtable for data automation can see similar collaboration gains by exploring our guide: Query and Analyze Airtable Data from Slack—Using Just Natural Language.

Bitquery vs Bitquery + AI Agent: Key Differences

Bitquery Comparison Table

Bitquery gives teams enterprise-grade blockchain data, but using it alone often means toggling between platforms, running manual queries, or relying on technical users. With Runbear integration, smart AI agents make Bitquery’s capabilities accessible directly from team chat, automate routine pulls, and power data-driven collaboration. Routine insights are now instant, actionable, and available to everyone—no switching apps, no SQL required.

Implementation Considerations

Successful Bitquery and Runbear integration requires both strategic and operational planning. Teams should prepare API credentials and ensure necessary data governance policies are in place, especially when sharing sensitive financial or compliance insights within chat platforms. Training might be needed so team members understand which Bitquery data is accessible and how to interact with AI agents effectively. Organizational change management is crucial: transitioning from manual analyst-driven workflows to AI-powered automations can affect roles and processes. Cost-benefit analysis should weigh API usage fees and Runbear’s subscription costs against time savings and productivity gains. Finally, ensure permissions and chat tool security are configured so the AI agent can operate safely—minimizing data leakage risks and ensuring compliance with internal policies.

Get Started Today

The future of blockchain intelligence is collaborative, conversational, and automated. By bringing Bitquery data into every team chat via Runbear AI agents, organizations turn blockchain data into business-ready knowledge at light speed. Teams become more agile, insights flow faster, and everyone—regardless of technical skill—can drive smarter decisions. Ready to empower your team’s crypto intelligence? Set up Bitquery integration with Runbear today and watch your workflows, reporting, and collaboration get smarter overnight.