Use Gluedly with AutoGen and agent runtimes

Agents should reason over structured facts, not scrape pages ad hoc. Gluedly lets you expose web data as a clean tool payload.

Why teams use this integration

• Separate acquisition from reasoning so agents stay focused on decisions.
• Avoid repeated scraping inside agent loops.
• Pass predictable keys into tool-calling and evaluation pipelines.

Recommended setup

1. Define the fields your agent needs in Gluedly.
2. Fetch Gluedly output in your agent tool or middleware layer.
3. Return the normalized payload to the agent as structured tool output.
4. Use scheduling or webhooks to keep the tool’s backing data fresh.

Example code

Use the latest structured data from Gluedly as the input layer for your AI stack.

def fetch_gluedly_page(page_id: int) -> dict:
    response = requests.get(
        f"https://gluedly.com/api/v1/pages/{page_id}/data",
        headers={"Authorization": "Bearer YOUR_WORKSPACE_KEY"},
        timeout=30,
    )
    response.raise_for_status()
    return response.json()

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