Bandit uses multi-armed bandit algorithms to automatically find your best-performing content — no more waiting weeks for A/B test results.

Built for teams that ship fast
Traditional A/B tests waste traffic on losing variants. Bandit algorithms learn in real-time and automatically shift traffic to winners.
Choose from Epsilon-Greedy, UCB1, or Thompson Sampling. Each one automatically balances exploration of new variants with exploitation of proven winners.
Sub-100ms assignment latency. In-memory algorithm state with Redis caching means your users never wait — and traffic shifts to winners within minutes, not weeks.
Let AI analyze your best-performing content and generate new variants. Eight generation strategies from emotional appeal to urgency to social proof — all data-driven.
Five lines of code to integrate. Works in any JavaScript environment — browser, Node.js, edge functions. Automatic event batching and retry logic built in.
From integration to optimization in minutes, not months.
Install the package, initialize with your API key, and call getAssignment() wherever you need a variant.
Define your variants and pick an algorithm in the dashboard. Add headlines, images, CTAs — or let AI generate variants for you.
Bandit automatically shifts traffic to top performers. Track conversions, revenue, and confidence in real-time. The algorithm gets smarter with every interaction.
The SDK handles assignment caching, event batching, and automatic retries. You just show the variant and track conversions.
import { BanditClient } from '@bandit/sdk';
const bandit = new BanditClient({
apiUrl: 'https://api.runbandit.com',
apiKey: 'your-api-key'
});
// Get the best variant for this user
const { treatment } = await bandit.getAssignment(
'headline-experiment',
'user-123'
);
// Track when they convert
bandit.trackEvent({
eventType: 'CONVERSION',
value: 29.99
});
Join teams already using intelligent algorithms to get more conversions, more revenue, and fewer wasted impressions.