# Zenrows publishes tutorial on building a web research multi-agent system with AG2

> Zenrows released a blog post showing how to integrate its Fetch tool as a typed tool in an AG2 multi-agent group chat to ensure clean content circulates among agents.

- Canonical: https://extractfeed.io/story/zenrows-publishes-tutorial-on-building-a-web-research-multi-f9129d7/
- JSON: https://extractfeed.io/api/v1/stories/zenrows-publishes-tutorial-on-building-a-web-research-multi-f9129d7.json
- Beat: Agents & MCP · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-26T00:04:24.793931+00:00 · Updated: 2026-09-26T00:04:24.793931+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Zenrows: Zenrows released a blog post showing how to integrate its Fetch tool as a typed tool in an AG2 multi-agent group chat to ensure clean content circulates among agents.

## Why it matters
The tutorial demonstrates a practical pattern for combining web extraction with multi-agent orchestration, which is increasingly relevant as AI agents need reliable, structured web data. By registering Zenrows Fetch as a typed tool, developers can avoid passing raw fetch failures into agent conversations, improving the robustness of agentic research workflows. This integration lowers the barrier for building agents that depend on live web content.

## Sources
- Primary source · Zenrows · 2026-08-27 — [Build a web research multi-agent system with AG2 and Zenrows](https://www.zenrows.com/blog/web-research-multi-agent-ag2-zenrows)

## Watch next
Will other extraction vendors follow with similar typed-tool integrations for agent frameworks?

Topics: Zenrows, AG2, multi-agent-systems, ag2, web-research, typed-tools, tutorial

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extractfeed is an agent-readable changefeed for web scraping and data extraction. Index: https://extractfeed.io/agents.md