Can I add Monetzly to an existing n8n app without rewriting it?

Yes. You keep your n8n model calls as they are and pass the streaming response into Monetzly's SDK, so ad injection is additive rather than a rewrite.

Will ads hurt the n8n chat experience?

Ads are contextual and clearly labelled, placed inside the response stream rather than as competing banners, so the conversation stays the focus.

Do free users of my n8n app still earn revenue?

That is the point of the model: every session can earn through in-conversation ads, so you are not forced to paywall casual users to make the app viable.

How long does the n8n integration take?

Because you are wrapping an existing stream with a documented SDK call, most teams wire it in during a single session. The SDK handles connection, injection, and fallback.

Monetize by framework

How to Monetize a n8n AI App

n8n is a workflow automation tool with AI/LLM nodes for building agentic pipelines visually, running on Node. Teams reach for it to build automated AI workflows, chatbot backends, and agent orchestration. Those are exactly the always-on, conversational experiences where a subscription wall or a banner ad tends to feel out of place, which is where a contextual, in-conversation ad model fits better.

What building with n8n usually looks like

A typical n8n project centers on automated AI workflows, chatbot backends, and agent orchestration. The interface is a conversation, and value is delivered turn by turn rather than behind a checkout.

That shape is great for users and hard for revenue: the moment you gate it behind a paywall, casual usage, the majority of traffic for most n8n apps, drops off before it ever converts.

Why subscriptions and display ads are awkward for this stack

Subscriptions force a paying decision before the user has felt the value, and they leave every non-paying session earning nothing. Display networks (banners, sidebars) were built for static pages, not for a streaming n8n response, they compete with the conversation for attention instead of belonging to it.

Monetzly takes the other path: relevant, clearly-marked ads are placed inside the assistant's response stream, so free users can stay free while the app still earns on every session.

How Monetzly integrates with n8n

n8n runs on Node, so a Code node (or a small custom node) can import @monetzly/server-sdk and wrap the token output of an upstream LLM node. Because n8n items are usually discrete rather than a live token stream, confirm whether you inject over a buffered response or a true stream for your workflow.

Monetzly's server SDK consumes any async stream of tokens, so you keep your existing n8n model call and pass its streaming output into sdk.inject(), contextual ads are injected into the token stream keyed on the session and live prompt, with no UI rework.

Integration snippet

TODO_VERIFY: The Monetzly injection is verified; confirm the n8n-specific stream detail flagged in the snippet against your version before publishing.

// n8n Code node (runOnceForEachItem). TODO_VERIFY: streaming vs buffered output.
import { MonetzlySDK } from "@monetzly/server-sdk";

const sdk = new MonetzlySDK({
  apiKey: $env.MONETZLY_API_KEY,
  serverAddress: $env.MONETZLY_SERVER_ADDRESS,
});
await sdk.connect();

const llmText = $json.text; // output from the previous LLM node
async function* asChunks() { yield { content: llmText }; }

let out = "";
for await (const t of sdk.inject(asChunks(), { prompt: $json.prompt })) out += t.content ?? "";
await sdk.disconnect();
return { json: { text: out } };