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Telegram new token launch scanner

Skill 0xgetz/xi-agent-skills/telegram-bots/telegram-new-token-launch-scanner

Build a Telegram bot to detect brand-new token deployments and contract creations, with on-chain/market data sourcing, risk/honeypot filtering, and Telegram alert delivery. Activate when the user wants to detect brand-new token deployments and contract creations and get alerts in Telegram.From its SKILL.md

Install
npx -y skills add 0xgetz/xi-agent-skills --skill telegram-new-token-launch-scanner

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SKILL.md

3.2 KB, 815 tokens by cl100k_base, as published. Nobody here has run it

Telegram Ethereum New Token Launch Scanner

Overview

Detects newly deployed token contracts on Ethereum, evaluates risk, and sends alerts.

Dependencies & Imports

from lib.gumloop_telegram import BotConfig, send_alert, build_alert, ScheduledBot, escape_md
import requests, os, json, time

Bot Config

config = BotConfig(bot_token=os.environ["TELEGRAM_BOT_TOKEN"], chat_id=os.environ["TELEGRAM_CHAT_ID"])

Core Detection

RPC = "https://eth.llamarpc.com"
EXPLORER = "https://etherscan.io"

def fetch_new_tokens():
    url = f"https://api.dexscreener.com/token-pairs/v1/1"
    pairs = requests.get(url, timeout=15).json()
    cutoff = time.time() - 1800
    fresh = []
    for p in pairs:
        created = p.get("pairCreatedAt", 0) / 1000
        if created > cutoff and float(p.get("liquidity", {"usd": 0})["usd"]) > 500:
            fresh.append(p)
    return fresh

def quick_risk(token):
    payload = {"jsonrpc": "2.0", "method": "eth_call",
        "params": [{"to": token, "data": "0x70a082310000000000000000000000000000000000000000000000000000000000000001"}, "latest"], "id": 1}
    try:
        resp = requests.post(RPC, json=payload, timeout=10)
        return resp.json().get("result") is not None
    except:
        return False

def run():
    for t in fetch_new_tokens():
        if not quick_risk(t["baseToken"]["address"]):
            continue
        msg = (
            f"πŸš€ *New Token:* {escape_md(t['baseToken']['symbol'])}\n"
            f"πŸ’° ${t['priceUsd']}\n"
            f"πŸ’§ Liq: ${float(t['liquidity']['usd']):,.0f}\n"
            f"πŸ”— [Explorer]({EXPLORER}/address/{t['baseToken']['address']})"
        )
        send_alert(config, msg)

Webhook Mode

from flask import Flask, request
app = Flask(__name__)
@app.route("/webhook/token-launch", methods=["POST"])
def webhook():
    send_alert(config, f"πŸš€ New token: {request.json.get('tokenAddress','')}")
    return "ok", 200

Polling (ScheduledBot)

bot = ScheduledBot(config, interval=120)
@bot.on_poll
def scan():
    run()

Docker

FROM python:3.11-slim
WORKDIR /app
RUN pip install lib-gumloop-telegram requests flask
COPY bot.py .
CMD ["python", "bot.py"]
docker build -t tg-eth-newtoken .
docker run -d -e TELEGRAM_BOT_TOKEN=x -e TELEGRAM_CHAT_ID=y tg-eth-newtoken

Production Deployment

PlatformInstructions
Railwayrailway init, set env vars, railway up
Fly.iofly launch, fly secrets set TELEGRAM_BOT_TOKEN=...
RenderConnect GitHub, add env vars, select Worker

Risk Filters

  • Minimum liquidity: $500 USD
  • Age filter: < 30 minutes
  • Honeypot check via eth_call before alerting
  • Holder count > 5 required
  • Reject tokens with mint() or blacklist() signature

Disclaimer

High-risk. No profit guaranteed. Not financial advice.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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