baileys-antiban — Anti-ban middleware (1000 messages stress tested live) #2357

Hey everyone 👋

We built an open-source anti-ban middleware for Baileys and stress-tested it with 1000 messages on a real WhatsApp number — no ban.

What it does

• Rate limiting with human-like timing (gaussian jitter, typing simulation)
• Warm-up system for new numbers (gradual 7-day ramp)
• Health monitoring — detects 403s, disconnects, auto-pauses before you get banned
• Content variator — invisible message variations to avoid spam detection
• Message queue with priority, retry, exponential backoff
• Smart scheduler — business hours, weekend patterns
• Webhook alerts — Telegram/Discord notifications on risk changes
• Drop-in socket wrapper — one line to protect your existing bot

Install

npm install baileys-antiban

Quick start

import makeWASocket from 'baileys';
import { wrapSocket } from 'baileys-antiban';

const sock = makeWASocket({ /* config */ });
const safeSock = wrapSocket(sock);

// sendMessage is now protected
await safeSock.sendMessage(jid, { text: 'Hello!' });

Stress test results

We sent 1000 messages to a WhatsApp group:

• ✅ All delivered, 0 blocked
• 🏥 Health stayed LOW throughout
• ⏱️ ~12 msgs/min sustained rate
• 📊 Average 4.7s delay per message (human-like)
• 🛡️ Number still alive and well

Links

• npm: https://www.npmjs.com/package/baileys-antiban
• GitHub: https://github.com/kobie3717/baileys-antiban
• Stress test bot included — test on your own number

Built by WhatsAuction 🇿🇦 — we use Baileys in production for WhatsApp-native auctions in South Africa.

Feedback welcome! 🛡️