# Superwall Agents

> An AI workspace that reads your paywall experiments, revenue, and subscription data, then hands back charts, insights, and the next test to run — no engineering queue.

Source: https://superwall.com/features/superwall-agents

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Analytics

#  Superwall Agents 

An AI workspace that reads your paywall experiments, revenue, and subscription data, then hands back charts, insights, and the next test to run — no engineering queue.

TL;DR

 Superwall Agents is an AI workspace at [superwall.ai](https://superwall.ai) that connects to your Superwall data. Ask it in plain language to read your paywall experiments, revenue, and subscriptions; it generates charts and reports on demand, tells you which variant is winning, and hands back the next test to run — no analyst queue, no engineering cycle. 

 For growth teams, the hardest part of an experiment isn't running it — it's the digging around it. Pulling the data together, spotting which variant won and why, finding the segment that drove it, and deciding what to test next is the work that eats days and stalls in an analyst or engineering queue. Superwall Agents does that digging for you. Instead of clicking through dashboards, you ask a question in plain language and get back an answer grounded in your own data, along with the next move. 

## What Superwall Agents is

[Superwall Agents](https://superwall.com/docs/agents) is a full AI workspace, not a chatbot in a sidebar. It lives at [superwall.ai](https://superwall.ai) and connects to your Superwall account, reading your experiment, revenue, and subscription data so it can answer questions, generate charts and shareable reports, and turn what it finds into concrete next steps. You work in chats — each one keeps its own messages, selected organization, attachments, and generated files — and you can attach exports, screenshots, CSVs, and logs to ground the analysis in your own context. 

[ Read the Agents docs ](https://superwall.com/docs/agents) 

## What you can do with it

* **Analyze experiments without the dig.** Ask the agent to read your latest paywall test and tell you what changed, which variant is winning, which segments look different, and what to run next — across metrics like conversion, ARPU, and trials.
* **Find leaking revenue.** Surface campaigns with strong traffic but weak paywall conversion, grouped by placement, with the highest-leverage changes ranked so you know where to focus first.
* **Get the next experiment.** The agent doesn't just report — it proposes the next test idea based on what it finds in your data, so the analysis ends with a decision instead of a dashboard.
* **Automate the routine.** Schedule a saved prompt so a weekly experiment readout or a daily anomaly check runs unattended and lands in your chat history.
* **Connect your stack.** Wire in GitHub, Slack, and skills, and trigger chats from your own systems with webhooks to plug the agent into the rest of your workflow.

## Pair it with your coding agent

 Superwall Agents also meets you where you already build. Pair your coding agent — Claude Code, Codex, or Cursor — with Superwall's MCP server and skill, and it can build and ship paywalls without leaving your editor. The agent can also inspect a connected GitHub repo to confirm your SDK setup is correct: that it identifies users, resets on logout, registers placements, and handles subscription status. That makes verifying an integration after a release a single prompt instead of a manual audit. 

[ Open Superwall Agents ](https://superwall.ai) 

## Why it matters

 Growth teams keep hitting the same wall: the data exists, but turning it into the next decision takes longer than running the test itself. The job customers describe wanting most is to test anything, fast, without waiting on an analyst queue or an engineering cycle to get the numbers. Superwall Agents collapses that loop — it reads the experiments, finds the leverage, and hands back the next test, in plain language and grounded in your own data. It's how a subscription app runs its growth without adding headcount or waiting on a queue. 

Note

 All you need is your existing Superwall account. Open Superwall Agents at [superwall.ai](https://superwall.ai), select your organization, and try a recipe prompt — see the [Agents docs](https://superwall.com/docs/agents) for setup, integrations, and ready-to-use prompts. 

## Get started

 Head to [superwall.ai](https://superwall.ai), start a chat, select your organization, and ask for the analysis you've been putting off. New to Superwall? [Create an account](https://superwall.com/sign-up) and connect your data to ship your first agent-driven experiment this week. 

[ Get started with Agents ](https://superwall.com/docs/agents) 

##  More features 

| [ Apple Search Ads Attribution ](https://superwall.com/features/search-ads-attribution) | Connect Apple Search Ads spend to real subscription revenue — see which campaigns and keywords actually drive paying users, and segment paywalls by them. | Analytics |
| ------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- |
| [ Conversion Stats ](https://superwall.com/features/conversion-stats)                   | See exactly where your funnel leaks — from paywall open to checkout — and which paywall, price, and placement actually converts.                          | Analytics |
| [ Custom User Properties ](https://superwall.com/features/custom-user-properties)       | Attach whatever you know about a user, then target paywalls, branch experiments, and personalize copy by it — no app release required.                    | Analytics |

 Nothing matches. 

##  Book a demo 

 Tell us a little about your app and we'll match you with the right person. 

* A personalized walkthrough of the paywall builder
* Guidance on your monetization and pricing strategy
* Custom implementation recommendations for your stack
* A look at proven paywall templates
* Revenue-optimization best practices

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##  Build, test, and optimize your paywalls 

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