TL;DR: datavessel agents now support multi-source workflows (run analytics → post to Slack), smarter prompt detection, and a reorganized agent library. Scheduling is next on the roadmap.
A few updates to the agent platform that make agents more powerful and easier to use.
Multi-Source Workflows
Agents can now work across multiple data sources in a single workflow. This unlocks combinations like:
- Analytics → Slack — Run a traffic analysis and post the summary to a channel
- Inventory → Slack — Check stock levels and alert #ops when items are low
- SEO → Slack — Ranking report delivered to #marketing
- Revenue → Slack — Sales numbers posted to your team
Connect the dots between your data sources and your team communication.
Smarter Agent Builder
When building custom agents, the platform now auto-detects which tools your prompt needs. Write what you want the agent to do, and DataVessel identifies the required data sources and functions automatically.
Less configuration, faster setup.
Reorganized Agent Library
The agent library got a refresh. Agents are now better categorized, easier to browse, and faster to deploy. Find what you need by data source, use case, or popularity.
More Sources Coming
We’re continuously adding new data sources. Slack just launched. More integrations are in development—if there’s a source you need, let us know.
What’s Next: Scheduling
Agent scheduling is next on the roadmap. Soon you’ll be able to set agents to run on a schedule—hourly, daily, weekly—across different timezones. Your SEO health check every Monday morning. Revenue reports before you start work.
Stay tuned.
Try It Now
Multi-source workflows and the updated agent builder are live at app.datavessel.io. Build your first cross-source agent or explore the updated library.
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