Use Gluedly with the Vercel AI SDK

When your UI needs live web-backed answers, Gluedly can act as the ingestion layer that keeps your AI SDK routes supplied with clean data.

Why teams use this integration

• Keep server routes lightweight by consuming normalized web data.
• Pair scheduled ingestion with streamed AI responses.
• Use the same data contract for both backend processing and UI output.

Recommended setup

1. Create and map a Gluedly page for the target source.
2. Fetch the latest page data inside your route handler or server action.
3. Inject the structured result into your retrieval or completion pipeline.
4. Use Gluedly scheduling to keep your app’s answers current.

Example code

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

const response = await fetch("https://gluedly.com/api/v1/pages/123/data", {
  headers: {
    Authorization: "Bearer YOUR_WORKSPACE_KEY",
    Accept: "application/json",
  },
});

const payload = await response.json();
const context = payload.rows?.map((row: any) => row.markdown ?? row.content).join("\n\n");

Related guides