#Webhook Signal

[hackernewsrobot]

SignalBotOne – Notification Webhooks for Signal

https://signalbot.one/

[cryptotrading58]

Best AI Crypto Trading Workflows Using Token Metrics API and MCP Server

In 2025, crypto traders are evolving beyond charts and price alerts. The most successful ones use AI-powered trading workflows—automated systems that pull real-time signals, evaluate momentum, and act faster than the market.

And at the heart of these workflows is the Token Metrics API and MCP Server—a powerful combination that turns any trading strategy into a smart, adaptable AI pipeline.

This article outlines the best AI crypto trading workflows developers and traders are using today, powered by real-time data, multi-agent prompts, and cross-platform compatibility.

🔄 What Is an AI Trading Workflow?

An AI trading workflow is a repeatable process where:

AI agents interpret real-time crypto data

Trading logic determines when to buy/sell

Automation tools execute decisions or send alerts

Token Metrics makes this possible by offering:

Real-time Trader Grades, Signals, and Moonshot alerts

A standardized API via the MCP Server

Compatibility with ChatGPT, Claude, Cursor IDE, Zapier, Coda, and more

Let’s explore how to build this step by step.

⚙️ Workflow 1: Narrative-Driven Trade Discovery

Goal: Discover tokens within hot sectors (e.g. AI, DePIN) with strong Trader Grades.

Step-by-Step:

Use /indices/theme/ai to pull AI-related tokens.

Filter by /grades/trader above 80.

Check /signals/bullish for momentum confirmation.

Execute trade or send Telegram alert.

Toolchain:

Claude or ChatGPT + Token Metrics MCP

Zapier or Botpress for automation

Optional: Trading API (CEX or DEX)

Example prompt:

“List DePIN tokens with Trader Grade above 85 and Bullish Signal in last 24h.”

⚙️ Workflow 2: Real-Time Moonshot Sniper

Goal: Buy low-cap altcoins that just fired a bullish signal and meet moonshot criteria.

Step-by-Step:

Query /moonshots/live

Filter by cap < $50M and Grade > 80

Confirm signal with /signals/bullish

Trigger execution via webhook or CLI agent

Ideal for:

Telegram bots

Autotrading agents

Signal dashboards

MCP Advantage: Run the same query in Claude, ChatGPT, or Windsurf—one protocol, many clients.

⚙️ Workflow 3: Rebalance Strategy Using Trader Grade Trends

Goal: Monitor your portfolio and rebalance when token momentum changes.

Step-by-Step:

Track tokens with /grades/trader and store weekly data

Detect downgrades over 3-day period

Trigger a portfolio rebalance or send alert

Stack:

Supabase (portfolio DB)

Token Metrics API

Tome/Coda for auto-updating reports

Optional AI Integration: Let Claude explain the reason behind grade drops using token fundamentals.

⚙️ Workflow 4: Daily Claude Assistant Briefing

Goal: Use Claude as a daily analyst that summarizes top opportunities.

Example prompt:

“Summarize today’s top 3 AI tokens by Trader Grade, Moonshot Grade, and Signal.”

Claude (connected via MCP Server) returns:

Tokens, scores, narratives

Brief explanation of movement

Sentiment data

You can ask follow-ups like:

“Which of these have bullish signals in the last 24 hours?”

Perfect for:

Teams

VC firms

Analysts

⚙️ Workflow 5: Alerts-as-a-Service

Goal: Let users set custom alert rules via frontend or agent.

What to Build:

UI with:

Price change threshold

Trader Grade trigger

Signal alert

Backend Flow:

Use /alerts/create to register rule

MCP Server standardizes trigger logic

Alert sent via:

Discord (via webhook)

SMS (via Twilio)

Email (via SendGrid)

Example Use Cases:

Token hits Trader Grade 90

Bullish Signal fired while cap < $25M

Top 10 index rebalance alert

🧠 Why Token Metrics Makes These Workflows Unique

Feature

Legacy Tools

Token Metrics MCP

Real-time AI grades

❌

✅

Sector & narrative filters

❌

✅

Bullish/Bearish signals

❌

✅

LLM compatibility

❌

✅ (Claude, GPT, etc.)

Single API key

❌

✅

Token Metrics doesn’t just offer data—it offers decisions.

🔐 Authentication and Access

All workflows require:

A single Token Metrics API key

Optional MCP Server access

Plans:

Plan

Monthly Calls

Ideal For

Free

5,000

Personal dashboards, basic bots

Advanced

50,000

Real-time apps, GPT plugins

Premium

500,000+

Autotrading systems, VC infra

Bonus: Save 10–35% by staking or paying with $TMAI.

📈 Bonus: Combine Workflows with Zapier or LangChain

You can:

Build no-code workflows with Zapier

Add memory and chaining via LangChain

Connect multiple agents across platforms (Slack, Discord, Telegram)

One stack. Infinite use cases.

🏁 Final Thoughts

AI crypto trading in 2025 is no longer experimental—it’s the new standard. Traders and developers are replacing spreadsheets and sentiment guesswork with live signal pipelines powered by Token Metrics.

Whether you're building:

A Claude assistant

An auto-rebalancing bot

A Moonshot discovery platform

A full-stack trading system

The Token Metrics API + MCP Server gives you the tools, data, and speed to win.

[metaconnector]

Connect TradingView Alerts to MT5 Automatically: A Step-by-Step Guide

Would you like to automatically link TradingView alerts to MetaTrader 5 (MT5) and make your life a little easier when it comes to your trading workflow? You're not the only one! Many traders appreciate the powerful charting tools provided by TradingView and are working through ways to execute trades automatically on MT5.

In this article, we will show you how to connect TradingView alerts to MT5 without manual work using automation tools like MetaConnector. Let’s get started!

✅ Why Automatically Connect TradingView to MT5?

TradingView does a great job at technical analysis and strategy building, while MT5 is widely used for executing trades across forex, indices, and stocks. Together, they become powerful trading tools because:

It removes the need to manually execute orders.

You can place trades faster.

You eliminate human error.

You can automate your trading strategies and alerts.

How to Automatically Connect TradingView Alerts to MT5

You can’t connect TradingView directly to MT5 without a bridge or third-party tool. But here’s how you can set it up easily using MetaConnector:

STEP 1: Create Alerts in TradingView

Open TradingView, and load your chart.

Click on the Alarm/Alert icon.

Set your condition (e.g., RSI change, price breaks).

In the alert message box, add any custom message similar to:

BUY EURUSD

When this message is read by MetaConnector, it will activate the trade commands on MT5.

Step 2: Use MetaConnector—The Smart Bridge Tool

Go to MetaConnector—a great bridge tool from Combiz Services Pvt Ltd. MetaConnector bridges TradingView alerts to MT5/MT4 in real-time.

Register and set up your account.

Connect your TradingView webhook to MetaConnector using the URL provided.

Connect your MT5 terminal by using the Expert Advisor (EA) from MetaConnector.

Map your alert message in TradingView to a buy/sell action on MT5 (Buy/Sell, SL, TP, Lot Size).

Step 3: Go Live with Automated Trading

Now that everything is connected:

Your TradingView alerts will automatically execute a live trade on MT5.

You can track everything and manage your account with your MetaConnector dashboard.

You can connect multiple accounts, which is perfect for copy trading and managing clients.

Key Features of MetaConnector

Real-time execution of orders

Compatible with any broker with MT4/MT5

Fast, secure integration

Compatible with any TradingView indicator or strategy

No programming required

Is Connecting TradingView to MT5 Safe and Legal?

Yes—using products like MetaConnector is definitely safe. It doesn't violate any broker rules, as it uses official APIs or Expert Advisors (EAs). It also operates within automation practices that are acceptable for both algo trading and copy trading.

Why Choose Combiz Services Pvt Ltd?

Combiz Services Pvt Ltd is a pioneer in India for automation in trading. Product solutions like MetaConnector and copy trading software are available to individuals & companies whether you are a beginner or experienced trader. If you are an individual trader or have a signal service, Combiz Services Pvt Ltd has you covered.

Check out 👉 www.metaconnector.combiz.org for your solutions today.

[copytradingsoftwareforindian]

Use Meta Connector to Send TradingView Signals to MT5

Automation has changed the trading game in today's fast-paced trading climate. Many traders will use TradingViewfor charting and alerts while they execute trades on MetaTrader 5 (MT5). The question is, how can we connect both platforms? Meet Meta Connector. Meta Connector is the best way to send TradingViewalerts to MT5. This makes it an effective signal provider for traders who would like to automate strategies without writing code. What is Meta Connector? Meta Connector is a lightweight but effective piece of software that connects TradingView to MT5, allowing you to send signals, alerts, and trading instructions directly from TradingViewto the MT5 terminal using simple webhook technology. Now you will never have to check TradingView alerts and then enter your order in MT5. Meta Connector does that all for you. Why Use Meta Connector as a Signal Provider? Real-time signal execution Order on MT5 the moment your TradingView strategy sends an alert. No code required. You don't need to know Pine Script or how to use MT5 to program. Everything works with simple webhook settings. Secure and reliable Uses end-to-end communication and works with all brokers that support MT5. Ideal for Algo Trading Great for users implementing custom strategies, signal-based trading, or prop trading setups. How to use Meta Connector to send signals from TradingView to MT5 It is easy to set up Meta Connector by following the steps below: ✅ Step 1: Install Meta Connector Download and install the Meta Connector application on your machine. Meta Connector is compatible with Windows and all versions of MetaTrader 5. ✅ Step 2: Set up MT5 Open up your MT5 terminal, log in with your broker credentials, and confirm that a working internet connection is present. ✅ Step 3: Create a Webhook in TradingView Go to the chart that has the ongoing strategy or indicator active. Click on “Alerts” and configure the alert conditions. In the Webhook URL section, paste the URL from Meta Connector. In the message body, put in your signal format (e.g., BUY/SELL, symbol, SL/TP). ✅ Step 4: Open Meta Connector Make sure Meta Connector is running and successfully connected to MT5. Once your alert is triggered in TradingView, the trade will be executed on MT5 live! Use cases for Meta Connector ✅ Day traders triggering entries and exits with TradingView strategies ✅ Swing traders automating entry and exit ✅ Signal providers sending alerts to clients ✅ Prop firms that want a centralised, automated execution. Check the full guide on: Best TradingView to MT5 Signal Provider – Meta Connector Final Thoughts If you want to automate your trade from TradingView to MT5, then Meta Connector is by far the best, most efficient, and most user-friendly tool available. It takes no coding, is fast to execute, and is fully compatible with MT5. For any modern trader, this is a must-have tool. Start using Meta Connector today and level up your trading!

[nvstly]

The Best Free App for Trading Signal Providers, Finfluencers, and Coaches

Automate your signals, showcase your stats, and build trust with a performance-first trading platform.

If you're a trader who provides signals to followers—whether you're a seasoned coach, a Discord community leader, or a finfluencer building your brand—NVSTly is the platform designed to take your signal service to the next level.

✅ Automate Your Signal Sharing Across Platforms

Signal delivery shouldn't be a manual hassle. NVSTly gives you multiple ways to track and share your trading signals—whether you’re active on Discord, using our app, or trading directly through your broker.

🟢 For Discord-Based Signal Providers

Our NVSTly Discord Bot was built with signal providers in mind. Once installed in your server, it can automatically detect, track, and publish your trade signals in real-time. Just type your trades or use the built-in commands, and the bot handles the rest:

Auto-logs the trade to your NVSTly profile

Updates your trade’s status as it progresses (e.g., average, partial, closed)

Instantly notifies your followers

Can also automatically share these tracked signals to other Discord servers & trading communities using webhook

📱 For Web & Mobile Users

Not on Discord? No problem. NVSTly’s web and mobile apps make it easy to manually input your trades. Whether you’re on the go or managing a premium signals channel elsewhere, you can:

Enter trade details quickly

Update prices and close trades at any time

Keep your followers informed without delay

Install the NVSTly mobile app on iOS App Store or Google Play for Android

🔗 Brokerage Integration = Full Automation

For the most seamless experience, NVSTly offers brokerage integrations (e.g., Webull) that allow your trades to be fully automated. Once connected:

Your trades are tracked the moment they’re executed

Followers get real-time notifications of your activity

You no longer need to lift a finger to share a signal

This is perfect for high-volume traders or signal providers managing multiple accounts.

📊 Transparent Performance That Builds Trust

In the world of signal trading, results matter more than followers. NVSTly is the only platform where your performance speaks for itself.

🌟 Trader Dashboards

Each trader's position has a public insights interface showcasing:

Most recent trades

Open and closed positions

PnL breakdowns and trade timelines

📈 In-Depth Stats & Analytics

Every trade you make contributes to a rich set of performance metrics displayed on trader dashboards:

Win rate

Average gain/loss

Average return

Long vs short ratio

Total gain and many more stats

No cherry-picking, no hiding losses. Just clean, honest data.

🏆 Compete on Global Leaderboards (Not for Clout—For Performance)

Forget follower counts and vanity metrics. NVSTly’s global leaderboards rank traders based purely on real performance.

As a signal provider:

Your success earns you visibility and credibility

Traders can discover and follow you organically

You can build a reputation that’s data-backed, not hype-driven

This makes NVSTly an amazing growth tool for any signal provider trying to stand out in a noisy market.

🔁 Social, Scalable, and Built for Signal-Based Trading

Whether you’re just getting started or managing a team of traders, NVSTly gives you tools to scale:

Let followers copy your trades in real time

Show off your trade history with one link

Gain real-time feedback and engagement from your audience

Track and share your results effortlessly with followers, to social media, & across Discord (and Telegram soon)

And with features like trade recaps, community feeds, and real-time alerts, NVSTly is more than a portfolio tracker—it’s a social investing platform designed for modern traders and educators.

🚀 Get Started Today

If you’re serious about sharing signals and growing your presence as a trusted trader, coach, or content creator—NVSTly is your new home.

✅ Start tracking trades ✅ Build your stats ✅ Climb the leaderboards ✅ Let your results speak louder than your reach

👉 Visit nvstly.com or invite our Discord bot to start automating your signals today.

[webstatus247dristi]

SEO Depends on Site Health—And That Includes Cron Monitoring

When it comes to SEO, we often focus on content creation, keyword optimization, link building, and user experience. But beneath all of that lies a foundation that’s often ignored: site infrastructure and automation reliability. One of the most critical but overlooked components is cron job monitoring.

Cron jobs are automated tasks that power many behind-the-scenes SEO operations. When they silently fail, your site may still appear to function, but your SEO could be taking a serious hit. That’s why monitoring cron jobs with tools like WebStatus247 isn’t optional—it’s essential.

🛠 What Are Cron Jobs and Why Do They Matter for SEO?

A cron job is a time-based task scheduler in Unix-like systems. Web servers use cron jobs to automatically execute scripts at specific intervals—every hour, day, week, or custom frequency.

Here’s how they directly impact SEO:

Sitemap Automation: Keeping your sitemap updated and notifying search engines ensures faster indexing.

Cache Management: Clearing expired cache files helps maintain site speed.

Broken Link Checks: Regularly removing dead links improves crawlability and user trust.

Scheduled Content Publishing: Timely content updates signal fresh activity to search engines.

Image Optimization: Automatically resizing or compressing new uploads to maintain fast load times.

Without cron jobs doing these tasks, your site can gradually lose technical integrity—hurting everything from crawl budgets to page speed scores.

⚠️ Real-World Scenarios Where Cron Job Failures Hurt SEO

🔄 Sitemap Never Updates

Let’s say your sitemap.xml file hasn’t updated in weeks because the cron job failed. Google doesn’t know you’ve added 20 new blog posts. These pages stay unindexed—missing out on traffic, impressions, and ranking potential.

🧱 Broken Links Go Undetected

You have a cron job that runs a script to identify broken internal links. One day it silently fails. You continue publishing content, unaware that dozens of pages now link to 404 errors. Google starts lowering your site's quality score.

⏳ Sluggish Load Times

Your database cleanup cron job fails. As junk data builds up, your queries slow down and page load speed drops. This affects your Core Web Vitals, which are now a direct ranking factor in Google.

🕒 Missed Content Scheduling

You queue up posts for the next week—product updates, blog articles, promotional pages. But the publishing cron job crashes. Your audience sees no updates, and Google sees an inactive site.

✅ Why You Must Monitor Cron Jobs—Not Just Set Them

Setting up a cron job isn’t enough. They can:

Fail due to coding errors

Be interrupted by server issues

Get blocked by firewalls or security plugins

Conflict with other scripts

Be disabled during hosting migrations

And most importantly: they don’t usually alert you when something breaks. This is where WebStatus247 steps in.

🧩 How WebStatus247 Helps With SEO-Focused Cron Monitoring

WebStatus247 Cron Job Monitoring gives you full control and visibility over your automation stack. Features include:

🛑 Failure Detection: Get notified if a scheduled task doesn’t run or crashes.

📅 Custom Monitoring Intervals: Track hourly, daily, or even by-the-minute jobs.

📬 Real-Time Alerts: Receive instant alerts via email or SMS when things go wrong.

📈 Logging and Dashboards: View detailed logs to troubleshoot quickly and prevent repeat issues.

🔒 Secure Status URLs: Use simple HTTP or webhook pings for status confirmation.

By integrating this tool, you make sure your SEO tasks—especially technical SEO jobs—run like clockwork.

🔍 Technical SEO + Cron Jobs: A Perfect Pair

SEO experts and digital marketers know that technical SEO is just as critical as content. Google rewards websites that are fast, accessible, and technically sound.

Monitoring your cron jobs means you're doing the following:

Maintaining sitemap freshness

Avoiding broken or outdated links

Ensuring content freshness

Improving uptime and stability

Keeping page speed fast and lean

If you run backups, link audits, caching tasks, or image optimization via cron, these all contribute indirectly—but powerfully—to your SEO edge.

🧠 Final Thoughts: Don't Let Silent Failures Kill Your Rankings

SEO isn’t just about what's visible—it's also about the systems that support your site. If your background tasks aren’t monitored, they can quietly fail, and your rankings may drop before you even realize there’s a problem.

✅ WebStatus247 ensures that never happens.

[fotolaminatecanvera]

Best API of Horse Racing for Betting Platforms: Live Odds, Data Feeds & Profits Unlocked

Discover the most accurate and profitable API of horse racing with live odds, betting data feeds, and fast integration. Ideal for UK/USA markets and fantasy apps.

Introduction: Why Accurate Horse Racing APIs Matter in 2025

In the competitive world of sports betting and fantasy gaming, milliseconds and margins matter. When it comes to horse racing, success hinges on real-time, trustworthy data and sharp odds. Whether you run a betting exchange, fantasy app, or affiliate site, using the right horse racing API can mean the difference between profit and failure.

The API of horse racing offered by fantasygameprovider.com is engineered to meet this demand—providing live horse racing odds, race entries, results, and predictive analytics that align perfectly with the betting industry’s needs.

What Is a Horse Racing API?

A horse racing API is a service that delivers structured, real-time horse racing data to apps, websites, and betting platforms. This includes:

Live race updates

Racecard entries & scratchings

Odds feed (fixed & fluctuating)

Final results with payout info

Jockey, trainer, and form data

These are typically delivered in JSON or XML formats, allowing seamless integration with sportsbooks, exchanges, or fantasy game engines.

📊 Who Needs Horse Racing APIs?

Audience

Use Case

Betting Sites

Deliver live odds, matchups, and payouts.

Fantasy Sports Platforms

Use live feeds to auto-update scores & leaderboards.

Betting Tipsters/Affiliates

Showcase predictive models based on fresh data.

Mobile Apps

Enable live race streaming with betting APIs.

Trading Bots

Automate wagers with low-latency horse racing data.

Why Choose FantasyGameProvider’s Horse Racing API?

Unlike basic feeds, our API is tailored for commercial use. Here's why it stands out:

Feature

FantasyGameProvider

Other APIs

Live Odds Feed

✅ Updated in <2s

⚠️ 5–15s delay

Global Racing

✅ UK, USA, AUS, HK

⚠️ Limited coverage

Data Format

✅ JSON + XML

⚠️ JSON only

Accuracy

✅ Enterprise-Grade (99.9%)

⚠️ Variable

Predictive Insights

✅ AI-Driven Models

❌ Not Included

Betting Integration

✅ Easy with Betfair, SBTech

⚠️ Manual setup required

Our horse racing odds API not only mirrors UK and USA live betting markets, but also lets you build automated bet triggers and smart notifications for sharp edge betting.

💸 How Betting Businesses Profit with Horse Racing APIs

If you're running a betting website or fantasy sports app, here's how the API of horse racing can boost your ROI:

Real-time updates = More active users

Faster odds delivery = Better arbitrage potential

Accurate results = Fewer payout disputes

Live data = Higher session times (ideal for monetizing with ads)

Custom alerts = VIP features for paid subscribers

Fantasygameprovider.com also allows white-label API integration to match your brand.

How to Choose the Right Horse Racing API – Checklist ✅

Make sure your API includes the following:

✅ Live odds feed with fast refresh rate (sub-2 seconds ideal)

✅ Coverage of all major race tracks (UK, USA, AUS)

✅ Reliable JSON & XML format

✅ Built-in historical data & form guide

✅ Scalable architecture for high traffic

✅ Supports Betfair, Oddschecker, and other exchanges

✅ Licensed data provider

Our API meets all these criteria and goes further by offering automated betting signals and predictive race modeling—key for next-gen apps.

Betfair API vs FantasyGameProvider: Which Is Better?

Feature

Betfair API

FantasyGameProvider

Odds Feed

Excellent (exchange-based)

Excellent (market + exchange)

Historical Data

Partial

Full form + performance stats

Developer Simplicity

Moderate

Plug-and-play REST endpoints

Support

Community-based

24/7 Support

Customization

Limited

High (webhooks, triggers, filters)

Pricing

Tiered

Affordable & negotiable plans

Conclusion: If you want full access to live odds, race data, and fast integration without the steep learning curve, fantasygameprovider.com offers better developer flexibility and betting UX.

Data Feeds You Get with Our Horse Racing API

Racecards & scratchings feed

Real-time results feed

Odds feed (fixed, fluctuating, exchange-compatible)

Form & stats feed

Track conditions feed

Horse/jockey/trainer history feed

Automated alerts for betting patterns

Formats available: JSON horse racing data & horse racing XML feed.

FAQs: Betting-Focused Horse Racing API Questions

Q1. Which is the most accurate horse racing API in 2025?

FantasyGameProvider offers 99.9% accuracy with sub-2-second update latency, ideal for professional and retail bettors alike.

Q2. Can I use this API for UK and USA horse racing?

Yes, our UK racing odds data and USA racing API are both available with full schedule and live result support.

Q3. Is your horse racing API suitable for Betfair automation?

Absolutely. Many of our clients use it to build Betfair trading bots using our odds feed and predictive race data.

Q4. Do you offer free trials or sandbox testing?

Yes. Developers can access a sandbox environment to test endpoints before committing.

Q5. What’s the difference between JSON and XML feeds?

JSON is faster and easier to integrate, while XML is preferred for legacy systems. We offer both to suit all tech stacks.

🚀 Start Winning with the Best API of Horse Racing

If you’re serious about building a winning betting platform, profitable tipster site, or a fantasy sports engine, you need the most accurate and commercial-ready API in the industry.

At fantasygameprovider.com, we give you everything:

✅ Live odds ✅ Fast results ✅ Race cards ✅ Predictive models ✅ Betfair compatibility ✅ Global reach (UK, USA, AUS, more)

👉 Ready to dominate the betting space with live horse racing data? Visit fantasygameprovider.com and request your API demo today.

[precallai]

Integrating AI Call Transcription into Your VoIP or CRM System

In today’s hyper-connected business environment, customer communication is one of the most valuable assets a company possesses. Every sales call, support ticket, or service request contains rich data that can improve business processes—if captured and analyzed properly. This is where AI call transcription becomes a game changer. By converting voice conversations into searchable, structured text, businesses can unlock powerful insights. The real value, however, comes when these capabilities are integrated directly into VoIP and CRM systems, streamlining operations and enhancing customer experiences.

Why AI Call Transcription Matters

AI call transcription leverages advanced technologies such as Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) to convert real-time or recorded voice conversations into text. These transcripts can then be used for:

Compliance and auditing

Agent performance evaluation

Customer sentiment analysis

CRM data enrichment

Automated note-taking

Keyword tracking and lead scoring

Traditionally, analyzing calls was a manual and time-consuming task. AI makes this process scalable and real-time.

Key Components of AI Call Transcription Systems

Before diving into integration, it’s essential to understand the key components of an AI transcription pipeline:

Speech-to-Text Engine (ASR): Converts audio to raw text.

Speaker Diarization: Identifies and separates different speakers.

Timestamping: Tags text with time information for playback syncing.

Language Modeling: Uses NLP to enhance context, punctuation, and accuracy.

Post-processing Modules: Cleans up the transcript for readability.

APIs/SDKs: Interface for integration with external systems like CRMs or VoIP platforms.

Common Use Cases for VoIP + CRM + AI Transcription

The integration of AI transcription with VoIP and CRM platforms opens up a wide range of operational enhancements:

Sales teams: Automatically log conversations, extract deal-related data, and trigger follow-up tasks.

Customer support: Analyze tone, keywords, and escalation patterns for better agent training.

Compliance teams: Use searchable transcripts to verify adherence to legal and regulatory requirements.

Marketing teams: Mine conversation data for campaign insights, objections, and buying signals.

Step-by-Step: Integrating AI Call Transcription into VoIP Systems

Step 1: Capture the Audio Stream

Most modern VoIP systems like Twilio, RingCentral, Zoom Phone, or Aircall provide APIs or webhooks that allow you to:

Record calls in real time

Access audio streams post-call

Configure cloud storage for call files (MP3, WAV)

Ensure that you're adhering to legal and privacy regulations such as GDPR or HIPAA when capturing and storing call data.

Step 2: Choose an AI Transcription Provider

Several commercial and open-source options exist, including:

Google Speech-to-Text

AWS Transcribe

Microsoft Azure Speech

AssemblyAI

Deepgram

Whisper by OpenAI (open-source)

When selecting a provider, evaluate:

Language support

Real-time vs. batch processing capabilities

Accuracy in noisy environments

Speaker diarization support

API response latency

Security/compliance features

Step 3: Transcribe the Audio

Using the API of your chosen ASR provider, submit the call recording. Many platforms allow streaming input for real-time use cases, or you can upload an audio file for asynchronous transcription.

Here’s a basic flow using an API:

python

CopyEdit

import requests

response = requests.post(

    "https://api.transcriptionprovider.com/v1/transcribe",

    headers={"Authorization": "Bearer YOUR_API_KEY"},

    json={"audio_url": "https://storage.yourvoip.com/call123.wav"}

)

transcript = response.json()

The returned transcript typically includes speaker turns, timestamps, and a confidence score.

Step-by-Step: Integrating Transcription with CRM Systems

Once you’ve obtained the transcription, you can inject it into your CRM platform (e.g., Salesforce, HubSpot, Zoho, GoHighLevel) using their APIs.

Step 4: Map Transcripts to CRM Records

You’ll need to determine where and how transcripts should appear in your CRM:

Contact record timeline

Activity or task notes

Custom transcription field

Opportunity or deal notes

For example, in HubSpot:

python

CopyEdit

requests.post(

    "https://api.hubapi.com/engagements/v1/engagements",

    headers={"Authorization": "Bearer YOUR_HUBSPOT_TOKEN"},

    json={

        "engagement": {"active": True, "type": "NOTE"},

        "associations": {"contactIds": [contact_id]},

        "metadata": {"body": transcript_text}

    }

)

Step 5: Automate Trigger-Based Actions

You can automate workflows based on keywords or intent in the transcript, such as:

Create follow-up tasks if "schedule demo" is mentioned

Alert a manager if "cancel account" is detected

Move deal stage if certain intent phrases are spoken

This is where NLP tagging or intent classification models can add value.

Advanced Features and Enhancements

1. Sentiment Analysis

Apply sentiment models to gauge caller mood and flag negative experiences for review.

2. Custom Vocabulary

Teach the transcription engine brand-specific terms, product names, or industry jargon for better accuracy.

3. Voice Biometrics

Authenticate speakers based on voiceprints for added security.

4. Real-Time Transcription

Show live captions during calls or video meetings for accessibility and note-taking.

Challenges to Consider

Privacy & Consent: Ensure callers are aware that calls are recorded and transcribed.

Data Storage: Securely store transcripts, especially when handling sensitive data.

Accuracy Limitations: Background noise, accents, or low-quality audio can degrade results.

System Compatibility: Some CRMs may require custom middleware or third-party plugins for integration.

Tools That Make It Easy

Zapier/Integromat: For non-developers to connect transcription services with CRMs.

Webhooks: Trigger events based on call status or new transcriptions.

CRM Plugins: Some platforms offer native transcription integrations.

Final Thoughts

Integrating AI call transcription into your VoIP and CRM systems can significantly boost your team’s productivity, improve customer relationships, and offer new layers of business intelligence. As the technology matures and becomes more accessible, now is the right time to embrace it.

With the right strategy and tools in place, what used to be fleeting conversations can now become a core part of your data-driven decision-making process.

[learning-code-ficusoft]

Combining Azure Data Factory with Azure Event Grid for Event-Driven Workflows

Traditional data pipelines often run on schedules — every 15 minutes, every hour, etc. But in a real-time world, that isn’t always enough. When latency matters, event-driven architectures offer a more agile solution.

Enter Azure Data Factory (ADF) + Azure Event Grid — a powerful duo for building event-driven data workflows that react to file uploads, service messages, or data changes instantly.

Let’s explore how to combine them to build more responsive, efficient, and scalable pipelines.

⚡ What is Azure Event Grid?

Azure Event Grid is a fully managed event routing service that enables your applications to react to events in near real-time. It supports:

Multiple event sources: Azure Blob Storage, Event Hubs, IoT Hub, custom apps

Multiple event handlers: Azure Functions, Logic Apps, WebHooks, and yes — Azure Data Factory

🎯 Why Use Event Grid with Azure Data Factory?

BenefitDescription🕒 Real-Time TriggersTrigger ADF pipelines the moment a file lands in Blob Storage — no polling needed🔗 Decoupled ArchitectureKeep data producers and consumers independent⚙️ Flexible RoutingRoute events to different pipelines, services, or queues based on metadata💰 Cost-EffectivePay only for events received — no need for frequent pipeline polling

🧱 Core Architecture Pattern

Here’s how the integration typically looks:pgsqlData Source (e.g., file uploaded to Blob Storage) ↓ Event Grid ↓ ADF Webhook Trigger (via Logic App or Azure Function) ↓ ADF Pipeline runs to ingest/transform data

🛠 Step-by-Step: Setting Up Event-Driven Pipelines

✅ 1. Enable Event Grid on Blob Storage

Go to your Blob Storage account

Navigate to Events > + Event Subscription

Select Event Type: Blob Created

Choose the endpoint — typically a Logic App, Azure Function, or Webhook

✅ 2. Create a Logic App to Trigger ADF Pipeline

Use Logic Apps if you want simple, no-code integration:

Use the “When a resource event occurs” Event Grid trigger

Add an action: “Create Pipeline Run (Azure Data Factory)”

Pass required parameters (e.g., file name, path) from the event payload

🔁 You can pass the blob path into a dynamic dataset in ADF for ingestion or transformation.

✅ 3. (Optional) Add Routing Logic

Use conditional steps in Logic Apps or Functions to:

Trigger different pipelines based on file type

Filter based on folder path, metadata, or event source

📘 Use Case Examples

📁 1. File Drop in Data Lake

Event Grid listens to Blob Created

Logic App triggers ADF pipeline to process the new file

🧾 2. New Invoice Arrives via API

Custom app emits event to Event Grid

Azure Function triggers ADF pipeline to pull invoice data into SQL

📈 3. Stream Processing with Event Hubs

Event Grid routes Event Hub messages to ADF or Logic Apps

Aggregated results land in Azure Synapse

🔐 Security and Best Practices

Use Managed Identity for authentication between Logic Apps and ADF

Use Event Grid filtering to avoid noisy triggers

Add dead-lettering to Event Grid for failed deliveries

Monitor Logic App + ADF pipeline failures with Azure Monitor Alerts

🧠 Wrapping Up

Event-driven architectures are key for responsive data systems. By combining Azure Event Grid with Azure Data Factory, you unlock the ability to trigger pipelines instantly based on real-world events — reducing latency, decoupling your system, and improving efficiency.

Whether you’re reacting to file uploads, streaming messages, or custom app signals, this integration gives your pipelines the agility they need.

Want an infographic to go with this blog? I can generate one in your preferred visual style.

WEBSITE: https://www.ficusoft.in/azure-data-factory-training-in-chennai/

[coredgeblogs]

Integrating Webhooks with Popular Services: How to Connect to Slack, GitHub, and More

Hey, fellow tech enthusiasts!

 It’s always cumbersome to manually sync data between your favorite services. So, integrating webhooks into your workflow can considerably augment automation and efficiency. Let's find out how to connect webhooks with popular services like Slack, GitHub, and more, as well as explore the basics of webhooks.

What Are Webhooks?

The term webhook was coined by Jeff Lindsay in 2007 from the computer programming term hook. A webhook is a method in web development of augmenting or altering the behavior of one application to deliver real-time data to another whenever a specific event occurs with custom callbacks. These callbacks may be managed, maintained, and modified by third-party users who don’t require being affiliated with the originating website or application.

It's as good as a messenger that transfers information from one service to another, allowing them to converse with each other flawlessly. Imagine it as your app’s style of giving a friendly jab to another app, conveying,” Hey, it just happened! Unlike conventional APIs, which need relentless polling to check for new data, webhooks push information automatically by webhooks, making them more effective and timelier.

Setting Up Webhooks for Slack:

After covering the basics of webhooks, let's march to set up a webhook for Slack!

Setting up webhooks for Slack is a powerful way to incorporate your application with the popular communication platform. Whenever a specific event occurs, a webhook is a callback URL that gets notifications from Slack, such as a new message or user update. Setting up a webhook in Slack needs your workspace settings.

Here is a step-by-step guide:

Create a new app for your workspace by navigating to the Slack API Portal.

Under the “integrations” tab, select Incoming Webhooks and click “Add New Webhook to Workspace.”

A webhook URL will be received that can be used to send notifications to your applications.

As per your need, this allows you to customize and extend Slack’s functionality.

For receiving signals from various services, this setup is mostly useful, ensuring the team always remains informed in real-time.

Connecting Webhooks to GitHub:

GitHub's webhook integration enables automatic notifications when events happen on GitHub, such as when someone opens a pull request or pushes a commit in a repository that your app can access.

To connect webhooks to GitHub, you'll need to follow these steps:

Go to your GitHub repository and click on "Settings."

Select "Webhooks" from the left-hand menu and click "Add webhook."

Insert the payload URL provided by the service you wish to notify (e.g. a Slack webhook URL).

Optionally, choose a data format in the Content type drop-down menu.

Select the webhook events (like pushes, pull requests, or issues) you want to receive.

Save the webhook and perform a test action to confirm it's working correctly.

 This will allow you to receive notifications about events and updates on code changes, pull requests, and more, enhancing collaboration and response times by connecting with services like Slack in your GitHub repository.

Other Popular Integrations

Beyond Slack and Github, Webhooks provides a wide range of integration possibilities. Here are some remarkable examples:

One prominent example is Zapier, a platform that allows users to connect over 1,000 different web services, including Gmail, Google Drive, Mailchimp, and Trello, and apps like Microsoft Teams, Outlook Calender Google Calender, One Drive, and SharePoint.  For automated file uploads and downloads, webhooks can also be integrated with Dropbox, Amazon S3, and other cloud storage services.

Gmail: To receive notifications for new emails, set up webhooks, enabling prompt responses.

Trello: Ensures you’re always abreast of project progress by receiving alerts for card movements or updates.

Facebook Apps: To receive real-time updates on user interactions, integrate webhooks that enhance engagement strategies.

HubSpot-A comprehensive AI-powered customer platform to automate sales workflows and integrate with customer relationship management (CRM).

Asana: To streamline team collaboration, connect with project management tools like Asana or Jira.

ChatGPT API: A turning point for webhooks:

The integration of the ChatGPT API has indeed manifested as a significant game changer for webhooks. In modern web development, the real-time notifications and updates enabled by webhooks have become increasingly decisive. The embracing of the ChatGPT API in webhooks acknowledges for more scalable and capable communication between applications, transforming the way developers build and integrate services. A new possibility has come to the fore due to the paradigm shift for real-time data exchange, user engagement, and automation, making webhooks a necessary tool for any modern web application. Because of this, the ChatGPT API has set a new benchmark for webhook-based integrations.

Tailored to your specific needs, you can create a cohesive and automated workflow by leveraging these integrations.

Conclusion:

The communication of your application can be transformed by embracing webhooks, leading to more proficient and responsive operations. Not binding by anything the possibilities are vast and impactful whether you're connecting Slack, GitHub, or other services.

Stay Ahead of the Curve:

At Coredge.io , we're vehement about assisting businesses in staying ahead of the curve when it comes to the latest tech trends. Whether you're looking to learn more about webhooks, APIs, or conversational AI, we've got you covered.

Follow us for more insights and updates on the world of tech!

[thetrading-world]

How To Setup TradingView Custom Indicator Alerts: A Comprehensive Guide

TradingView has revolutionized trading with its intuitive charting tools, social features, and powerful indicators. Among these powerful features, TradingView Custom Indicator Alerts stand out for their ability to deliver timely notifications, helping traders react swiftly and strategically to market changes.

What are TradingView Custom Indicator Alerts?

TradingView Custom Indicator Alerts allow traders to set personalized notifications based on specific conditions defined within their custom indicators. These alerts can be delivered via email, SMS, or app notifications, ensuring traders never miss critical trading signals.

Benefits of Using Custom Indicator Alerts on TradingView

Real-time Notifications: Stay informed instantly when your indicator conditions are met.

Customizable Criteria: Define alerts based on tailored criteria from any indicator you use or create.

Improved Trading Efficiency: Reduce screen time by automating notifications, allowing more time for strategy analysis and decision-making.

Enhanced Trading Discipline: Stick to your trading plan by receiving precise alerts, avoiding emotional or impulsive trades.

How to Set Up TradingView Custom Indicator Alerts

Follow these simple steps to configure your custom indicator alerts:

Open TradingView Chart: Choose the chart and indicator you want alerts for.

Access Alert Configuration: Click on the Alert (clock) icon at the top right of the chart interface.

Define Alert Conditions: Select your custom indicator from the condition dropdown. Set specific conditions and threshold values triggering alerts.

Choose Notification Method: Select your preferred notification method—email, SMS, webhook, or app notification.

Confirm and Activate: Click ‘Create’ to activate the alert.

Best Practices for Custom Indicator Alerts

Clearly Define Criteria: Ensure your alert conditions are specific and aligned with your trading strategy.

Test and Refine: Regularly test your alerts to ensure reliability and effectiveness.

Combine Indicators: Integrate multiple indicators for robust and confirmed trading signals.

Avoid Overloading: Limit the number of alerts to manage focus and clarity.

Automating Your TradingView Alerts

To efficiently manage and automate your TradingView alerts, consider advanced alert management tools such as TV Alerts Manager. TV Alerts Manager simplifies the automation of TradingView custom indicator alerts, ensuring timely and efficient notification delivery, streamlining your trading experience.

Final Thoughts

TradingView Custom Indicator Alerts are an essential tool for traders aiming to boost trading precision, efficiency, and profitability. Leverage the full potential of custom alerts by integrating automation and effective management practices. For advanced alert management solutions, visit tvalertsmanager.com today.

[draegerit]

Smarter Schalter für Gleichspannung: Der Shelly i4 DC im Detail

Wer sein Smart Home mit intelligenten Schaltern erweitern möchte, stößt schnell auf die Shelly-Serie. Mit dem Shelly i4 DC bietet Shelly eine spezielle Version des beliebten Shelly i4, die ausschließlich für Gleichspannung (DC) im Bereich von 5 bis 24V ausgelegt ist. Achtung: Im Gegensatz zur AC-Variante des Shelly i4, die für Netzspannung von 110 bis 240V geeignet ist, darf der Shelly i4 DC keinesfalls an Wechselspannung (AC) betrieben werden! https://youtu.be/XHFnV_hSHxE Dieses Gerät eignet sich ideal für Niederspannungsanwendungen, sei es zur Steuerung von Niedervolt-Schaltkreisen, Mikrocontroller-Systemen oder Gleichstrominstallationen in Fahrzeugen, Solaranlagen und Industrieumgebungen.

Shelly i4 DC

Shelly i4 DC - Schraubklemmen

Shelly i4 DC - Rückseite

Einsatzzweck des Shelly i4 DC

Der Shelly i4 DC besitzt vier Eingänge, die als digitale Schalter für Smart-Home-Systeme dienen. Er kann keine Verbraucher direkt schalten, sondern sendet die Schaltsignale über WLAN oder MQTT an andere Shelly-Geräte mit Relais wie den Shelly 1 Plus oder den Shelly 1PM Mini, der zusätzlich Strom, Spannung und Leistungsaufnahme messen kann. Durch diese Funktion eignet sich der Shelly i4 DC ideal für die folgenden Anwendungen: - Taster-Integration für Shelly-Relais Der Shelly i4 DC kann als externer smarter Taster für Shelly-Relais fungieren. Beispielsweise kann ein herkömmlicher Taster mit 12V oder 24V angeschlossen werden, dessen Signal dann über WLAN an ein Shelly 1 Plus oder Shelly 1PM Mini weitergeleitet wird. Damit lassen sich Lampen, Ventilatoren oder andere Verbraucher gezielt steuern – ohne direkte Verkabelung zwischen Schalter und Verbraucher. - Erweiterung für Mikrocontroller-Projekte (Arduino, ESP32) In Arduino- oder ESP32-Projekten kann der Shelly i4 DC als smarte Eingabe-Schnittstelle genutzt werden. Über MQTT oder Webhooks lassen sich Signale an den Mikrocontroller senden, um bestimmte Aktionen zu triggern, etwa das Aktivieren einer LED-Anzeige, das Speichern von Sensordaten oder das Starten eines Motors über ein externes Relais. - Smarte Steuerung in 12V- oder 24V-Systemen (Wohnmobile, Solaranlagen) In Wohnmobilen, Booten oder Solaranlagen gibt es oft Niederspannungs-Systeme mit 12V oder 24V. Der Shelly i4 DC kann dort als Taster-Schnittstelle eingesetzt werden, um beispielsweise über WLAN ein Shelly-Relais zu steuern, das die Beleuchtung schaltet oder eine Solarbatterie umschaltet. - Virtuelle Szenen-Steuerung mit Home Assistant & Co. Der Shelly i4 DC kann in Smart-Home-Systeme wie Home Assistant, ioBroker oder MQTT eingebunden werden, um komplexe Automatisierungen zu ermöglichen. Beispielsweise könnte ein Taster am Shelly i4 DC eine Lichtszene aktivieren, eine Jalousie fahren oder einen Alarm-Modus schalten – alles ohne direkt mit der jeweiligen Hardware verbunden zu sein.

Technische Daten

Der Shelly i4 DC ist ein smarter Eingangsschalter für Gleichspannung (5–24V) mit vier unabhängigen Eingängen. Er unterstützt WLAN (2,4 GHz) und Bluetooth 4.2 und ermöglicht die Steuerung von Smart-Home-Geräten über MQTT, Webhooks oder Skripting. Stand 16.02.2025 gibt es keine Gen3-Version, sondern nur die Gen2-Variante, die mit einem etwas älteren ESP32-U4WDH ausgestattet ist. Für die Hauptfunktion des Geräts – die Weiterleitung von Schaltsignalen – reicht die Rechenleistung jedoch vollkommen aus. KategorieTechnische DatenBetriebsspannung5–24V DCLeistungsaufnahmeEingänge4 digitale Taster-EingängeProzessor (MCU)ESP32-U4WDHSpeicher4 MB FlashKommunikationWLAN 2,4 GHz (802.11 b/g/n), Bluetooth 4.2RF LeistungUnterstützte ProtokolleMQTT, Webhooks, SkriptingGehäusegröße (HxBxT)37 × 42 × 16 mmGewicht17 gUmgebungstemperatur-20 °C bis 40 °CLuftfeuchtigkeit30 % bis 70 % RHMontageUnterputz, WanddoseAnschlussklemmen0,5–1,5 mm² Leiterquerschnitt, max. 0,4 Nm Drehmoment Die offizielle Dokumentation findest du unter https://www.shelly.com/de/products/shelly-plus-i4-dc dort gibt es derzeit auch die Möglichkeit einpaar Prozente zu sparen ;). Erweiterungsmöglichkeiten und Reset-Funktion Auf der Rückseite befindet sich die Schnittstelle für das bekannte Shelly AddOn. Über diese Erweiterung lassen sich analoge und digitale Sensoren anschließen und auswerten, wodurch der Funktionsumfang des Geräts erheblich erweitert werden kann.

Rückseite des Shelly i4 DC Ebenfalls auf der Rückseite befindet sich der Reset-Taster, mit dem das Gerät bei Bedarf neugestartet werden kann. Hält man die Taste länger gedrückt, wird der Shelly auf die Werkseinstellungen zurückgesetzt – praktisch, falls Probleme auftreten oder eine neue Konfiguration notwendig ist.

Vergleich mit dem Shelly i4 für Wechselspannung

Auf meinem Blog habe ich bereits den Shelly i4 AC der dritten Generation in verschiedenen Beiträgen vorgestellt. Dabei habe ich gezeigt, wie sich das Gerät in unterschiedliche Smart-Home-Umgebungen integrieren lässt und welche praktischen Einsatzmöglichkeiten es bietet. Falls du mehr über die bisherigen Anwendungen erfahren möchtest, findest du hier eine Übersicht der relevanten Beiträge: - Shelly i4 Gen3 im Test: Vier Eingänge, unendliche Möglichkeiten - Shelly i4 und Shelly Wall Switch: Intelligente Szenen für smarte Gerätesteuerung

Shelly i4 Version für Wechselspannung und Gleichspannung Ein wesentlicher Unterschied zwischen den beiden Varianten ist die Betriebsspannung: - Der Shelly i4 AC ist für Wechselspannungen zwischen 110 und 240V ausgelegt. - Der Shelly i4 DC hingegen arbeitet mit Gleichspannungen zwischen 5 und 24V und darf nicht an Wechselspannung betrieben werden. Zusätzlich gibt es den Shelly i4 für Wechselspannung bereits in der dritten Generation (Gen3). Diese neue Version ist optisch unter anderem daran zu erkennen, dass die Anschlussklemmen schwarz sind und mit Kreuzschrauben befestigt werden. Die DC-Variante gibt es bisher (Stand 16.02.2025) nur in der zweiten Generation (Gen2). Hier ist eine übersichtliche Tabelle mit den wesentlichen Unterschieden zwischen dem Shelly i4 AC und dem Shelly i4 DC: MerkmalShelly i4 AC (Gen3)Shelly i4 DC (Gen2)Betriebsspannung110–240V AC, 50/60 Hz5–24V DCStromverbrauchMicrocontroller (MCU)ESP-Shelly-C38FESP32-U4WDHFlash-Speicher8 MB4 MBAnschlussklemmenSchwarz, KreuzschraubenNeon Orange, SchlitzschraubenLeiterquerschnitt0.2–2.5 mm² / 24–14 AWG0.5–1.5 mm² / 20–16 AWGMax. Drehmoment der Klemmen0.4 Nm / 3.5 lbin0.4 Nm / 3.5 lbinAbisolierlänge6–7 mm5–6 mmGehäusefarbeOrangeNeon Orange (Pantone 2010C)Gewicht19 g17 gWLAN-Protokoll802.11 b/g/n802.11 b/g/nWLAN-Frequenzband2401–2483 MHz2400–2495 MHzBluetooth4.2 mit BLE4.2Bluetooth ReichweiteBis zu 10 m (indoor), 30 m (outdoor)Bis zu 10 m (indoor), 30 m (outdoor)MQTT-UnterstützungJaJaWebhooks (URL-Actions)20 mit 5 URLs pro Hook20 mit 5 URLs pro HookScriptingJaJaInterner TemperatursensorJaJa

Praktischer Einsatz: Fenster- und Türüberwachung mit Reed-Kontakten

Ein idealer Anwendungsfall für den Shelly i4 DC ist die Überwachung von Fenstern und Türen mithilfe von Reed-Kontakten. Diese magnetischen Sensoren erkennen, ob ein Fenster oder eine Tür geöffnet oder geschlossen ist. Durch den Anschluss der Reed-Kontakte an die Eingänge des Shelly i4 kann das Gerät den Status erfassen und über WLAN an ein Smart-Home-System wie Home Assistant, ioBroker oder MQTT weiterleiten. Mögliche Szenarien: - Smarte Alarmanlage: Bei einem unbefugten Öffnen wird eine Benachrichtigung an das Smartphone gesendet oder eine Sirene ausgelöst. - Lichtsteuerung: Das Licht im Raum schaltet sich automatisch an, wenn eine Tür geöffnet wird. - Fenster-Check für Heizungssteuerung: Falls ein Fenster geöffnet ist, wird die Heizung automatisch heruntergeregelt, um Energie zu sparen. Da der Shelly i4 DC ausschließlich mit Gleichspannung (5–24V) arbeitet, eignet er sich hervorragend für batteriebetriebene oder Niederspannungs-Überwachungssysteme. Damit bietet er eine einfache, aber leistungsstarke Möglichkeit zur smarten Fenster- und Türüberwachung. Für den Aufbau der kleinen Schaltung verwende ich nachfolgende Bauteile: - einen Shelly i4 DC* - vier Reed-Kontakte* - ein Universalnetzteil* - diverse Kabel Hinweis von mir: Die mit einem Sternchen (*) markierten Links sind Affiliate-Links. Wenn du über diese Links einkaufst, erhalte ich eine kleine Provision, die dazu beiträgt, diesen Blog zu unterstützen. Der Preis für dich bleibt dabei unverändert. Vielen Dank für deine Unterstützung!

Shelly i4 DC mit Universalnetzteil Wie funktioniert ein Reed-Kontakt? Ein Reed-Kontakt ist ein magnetisch gesteuerter Schalter in einer Glasröhre. Ohne Magnet bleibt der Kontakt offen. Nähert sich ein Magnet, ziehen sich die Metallzungen an und schließen den Stromkreis. Entfernt sich der Magnet, öffnet der Kontakt wieder. Perfekt für Tür-/Fensterüberwachung mit dem Shelly i4 DC.

Reed Kontakt als einfaches Bauteil Einrichtung in der Shelly Smart Control App Der Shelly i4 DC lässt sich, wie alle anderen Shelly-Geräte, bequem in der Shelly Smart Control App einrichten. Der Einrichtungsprozess unterscheidet sich nicht wesentlich von anderen Shelly-Geräten. Falls du eine detaillierte Anleitung sehen möchtest, schau dir mein Video zur Einrichtung des Shelly 2PM an – der Ablauf ist nahezu identisch! 🎥⬇️ https://youtu.be/SgIFZ1vCXxY Nutzung außerhalb des lokalen WLANs Möchtest du deinen Shelly außerhalb deines Heimnetzwerks betreiben, etwa in einem Wohnwagen, kannst du die Einbindung ins WLAN überspringen. Stattdessen lässt sich der Shelly auch über seine integrierte Web-Oberfläche steuern. Dazu einfach: - Mit dem vom Shelly bereitgestellten Access Point verbinden. - Im Browser die IP-Adresse 192.168.33.1 eingeben. So kannst du den Shelly direkt lokal konfigurieren und bedienen, ohne Internetverbindung. 🚀 Anschluss eines Reed-Kontakts an den Shelly Der Anschluss eines Reed-Kontakts am Shelly ist denkbar einfach: - Der Reed-Kontakt hat nur zwei Drähte, die nicht vertauscht werden können. - Ein Draht wird mit dem Minuspol (GND) des Shelly verbunden. - Der andere Draht kommt an einen der vier Eingänge (SW1–SW4).

Shelly i4 DC mit Reed-Kontakt an SW1

Schaltung - Shelly i4 DC mit Reed-Kontakt In der Shelly-Software ist keine zusätzliche Konfiguration erforderlich – der Kontakt wird direkt erkannt und kann für Automationen genutzt werden. 🔧✅

Shelly i4 DC - Reed-Kontakt - ON

Shelly i4 DC - Reed-Kontakt - OFF Mit sollch einem Reed-Kontakt könnte man ebenso nun den bereits gezeigten smarten Briefkasten nachbauen, du bräuchtest, somit lediglich eine Stabile Spannung zwischen 5 und 24V neben diesem. Worauf muss man bei Reed-Kontakten achten? Reed-Kontakte sind empfindliche Schalter für geringe Ströme und sollten entsprechend vorsichtig eingesetzt werden. Hier sind die wichtigsten Punkte, die du beachten solltest: - Maximale Strom- und Spannungsbelastung - Reed-Kontakte sind nicht für hohe Ströme ausgelegt. Üblicherweise liegt die Belastungsgrenze im Milliampere- bis niedrigen Ampere-Bereich. - Zu hohe Ströme oder Spannungsspitzen können die Kontaktzungen verschweißen, sodass der Schalter dauerhaft geschlossen bleibt. - Einsatz mit Shelly i4 DC - Der Shelly arbeitet mit niedriger Spannung und minimalem Stromfluss, weshalb Reed-Kontakte hier sicher verwendet werden können. - Sie dienen lediglich als Eingabeschalter, sodass keine Last über den Kontakt selbst fließt. - Entprellung und Kontaktalterung - Mechanische Schwingungen beim Schließen des Kontakts können kurzzeitige Mehrfachschaltungen auslösen (Prellen). - Moderne Mikrocontroller und Smart-Home-Geräte wie der Shelly filtern diese Störungen meist automatisch. - Magnetposition beachten - Damit der Reed-Kontakt zuverlässig schaltet, muss der Magnet korrekt ausgerichtet sein. - Ein zu starker Magnet kann den Kontakt dauerhaft geschlossen halten.

Fazit und Ausblick

Der Shelly i4 DC ist eine leistungsstarke Ergänzung für Smart-Home-Systeme, insbesondere in Niederspannungsumgebungen wie Wohnwagen, Solaranlagen oder batteriebetriebenen Schaltungen. Durch die Möglichkeit, Taster oder Sensoren zu integrieren und Signale per WLAN oder MQTT weiterzugeben, lässt er sich vielseitig einsetzen. Da ich selbst keinen Wohnwagen habe und meine Solaranlage autark arbeitet, werde ich den Shelly in meinem nächsten Mikrocontroller-Projekt mit dem Arduino UNO R4 und dem "Plug and Make Kit" einsetzen. Ich bin gespannt, welche neuen Möglichkeiten sich dabei ergeben und werde die Ergebnisse im nächsten Beitrag vorstellen! 🚀 Read the full article

[dovesoftltd]

A Practical Guide To Using WhatsApp Business API

WhatsApp Business API has transformed how businesses communicate with their customers. Offering a scalable solution, this API empowers organizations to manage customer interactions efficiently and provides a comprehensive platform for automating communication, delivering notifications, and offering real-time customer support. Let’s delve into the key aspects of WhatsApp Business API and how businesses can leverage its potential.

Key Features of WhatsApp Business API

WhatsApp Business API brings several powerful features designed to enhance business communication and customer experience:

1. Automated Messaging: The API allows businesses to send quick replies, greetings, and away messages. By automating routine interactions, businesses can save time and improve response times for customer inquiries.

2. Rich Media Support: Beyond text-based messaging, the API supports multimedia content, allowing businesses to share images, videos, PDFs, and more. This feature makes it easier for businesses to provide detailed product information or share promotional content.

3. Analytics & Reporting: With built-in analytics, businesses can track message status, such as whether it was delivered or read. These insights help companies optimize their messaging strategies and improve customer engagement.

4. Customer Support: The API supports real-time assistance, allowing businesses to manage customer inquiries, complaints, and requests through messaging. Integrated ticketing systems make the process seamless.

5. Multi-Agent Support: Businesses can assign multiple users to manage a single account, ensuring customer queries are handled promptly, even in high-demand periods.

Acquiring WhatsApp Business API: Steps to Follow

To utilize WhatsApp Business API, businesses need to partner with a WhatsApp Business Solution Provider (BSP). The process generally involves:

1. Choosing a BSP: Depending on your business’s size and location, you’ll need to select a BSP that fits your needs. Pricing and support levels vary by provider and region.

2. Business Verification: You’ll need to submit official business verification documents to ensure authenticity. This is a critical step for businesses seeking to build trust with their customers.  

3. Pricing: The cost of WhatsApp Business API depends on the BSP, volume of messages sent, and your region. Generally, the monthly cost ranges between ₹4,000 to ₹8,000.

Integration Process: How to Set Up WhatsApp API

Integrating WhatsApp Business API is straightforward, especially with the help of a BSP. The typical steps include:

1. Account Setup: Create a WhatsApp Business account with the help of your BSP and verify the business.

2. API Integration: Follow the BSP’s instructions to integrate the API into your business systems using REST APIs.

3. Configure Webhooks: Webhooks enable real-time automation of responses, streamlining communication with customers.

Promotional vs. Transactional Messages

WhatsApp Business API supports both promotional and transactional messaging:

Promotional Messages: These are marketing messages sent with customer consent, offering discounts or announcing new products.

Transactional Messages: Used for critical notifications such as order confirmations, shipment updates, and OTPs. These require pre-registered templates to avoid being marked as spam.

WhatsApp Blue Tick: Enhancing Credibility

The WhatsApp Blue Tick is a verification badge that appears next to a business's name, signaling that WhatsApp has verified the business. To get this badge:

- You must have a WhatsApp Business API account.

- Complete business verification.

- Submit a request for verification to WhatsApp.

- Only businesses that meet WhatsApp's standards for reputation and authenticity receive the blue tick.

WhatsApp Chatbots: A Game-Changer for Customer Support

A WhatsApp Chatbot is an AI-powered tool that allows businesses to handle customer inquiries without human intervention. By integrating a chatbot with the WhatsApp Business API, businesses can provide 24/7 support, automate order processing, and improve customer satisfaction.

Chatbots can be configured using predefined rules or AI for natural conversations, and pricing varies depending on complexity, ranging from ₹1,500 to ₹10,000 per month.

Estimated Costs for WhatsApp API Usage

- API Subscription: ₹4,000 to ₹8,000 per month.

- Message Charges: ₹0.20 to ₹0.70 per message in India, depending on the type of message (session or template).

- Blue Tick: Free but requires approval.

- Chatbot: ₹1,500 to ₹10,000+ depending on features.

In conclusion, the WhatsApp Business API offers powerful tools for businesses looking to enhance customer communication, automate processes, and build credibility through features like blue tick verification and chatbots. By leveraging these solutions, businesses can streamline their operations, provide better customer service, and engage audiences through personalized and scalable messaging. Although the costs associated with WhatsApp API, messaging, and chatbots can vary, investing in these tools offers significant potential for growth, especially in the Indian market. 

There are many service providers, however, with careful planning and choosing the right service provider, businesses can unlock the full potential of WhatsApp business API. It is worth nothing that Dove Soft Ltd, a leading cloud communication solutions provider is known for its trusted & dynamic whatsapp platform for both transactional and promotional communication.

*the pricing mentioned in the article is only indicative, however, the actual prices may vary.

[21mln]

Challenge 50,000 fifty thousand dollars in management - prop company.

Challenge 50,000 fifty thousand dollars in management - prop company. The point is that you undergo training, pass an exam on the testnet of a leading exchange on commissions on MEXC futures, and after trading with small real money, you receive an amount from 1,000 to 50,000 US dollars to manage in order to earn profit. You will need to gradually confirm your qualifications so that I, as a guarantor and your risk manager, will be convinced of your competence and quality of trades (correctly executed trading operations in accordance with the trading instructions I transmit to you - a clear strategy, there is an example in the @dogestop challenge)

Download the book for free - my manual - instructions for careful trading of Bitcoin on futures, written by me back in 2018, but shortened and improved in essence - the very strategy of trading on the cryptocurrency exchange with the BTCUSDT trading pair, which allows you to learn to control emotions and risks and still force yourself not to be greedy and follow my rules established by gurus and experts in the field of making money trading with leverage (cross margin x21 - i.e. having 1000 dollars you make a purchase of 21000 minus costs (trading commission in in the amount of 0.01% of this amount, which is 2.1 dollars for opening and 2.1 for closing + a small spread - in a quiet market the spread on average differs by 5 dollars difference, in a mega-active market - quick losses and price rises, which is the main reason - knocking out stops, from 5 to even 20 dollars difference in price, i.e. with a bet of 21 thousand dollars this is + 20 dollars in a commission of 2.1% and you need to be prepared for this).

Course worth 10k USDT - free

The training course, for which the so-called trading gurus, ala Gerchik, pay from 7 to 20 thousand dollars, is provided completely free of charge for my referrals (those who have subscribed to my referral links for the challenge on the MEXC GATEIO GOODCRYPTO robot exchanges).

Statistics from screenshots - profitability 200-300% per month

I show you real reports from my trading deposits, where I trade orders for 5-10-20 and up to 2 million dollars and show positive statistics on the growth and expansion of the deposit. This is all true and real trading operations, which I confirm with official statistics from the exchange and which are stored in the exchange account forever and are available for online demonstration.

Trading robots Moonbot and GoodCrypto, moontrader, special scripts for browser trading (Python), hooks for TradingView transmitting signals from PineScript to Moonbot for trading automation (autotrading, instructions are given in the second test manual provided from one of the trading schools).

Ready-made strategies for moonbot and moontrader, which allow you to automate earnings and teach the client how to earn income from auto-trading cryptocurrency. These products are expensive to purchase - a moonbot costs 0.15BTC and a moontrader subscription costs $100 per month. But for beginners, I recommend GoodCrypto VISA payment, the cost is $299, lifetime license. The reason for preference is the official product with a guarantee, and not just a boxed version from the anonymous creators of moonbot and moontrader. You decide. I use both products, incl. Python scripts, webhooks and I hire programmers and traders to improve their trading algorithms and indicators.

Bonuses for registration and KYC up to $500 per 10k deposit and up to 100 per $1500 deposit. I am officially the chairman of the MEXC and GATEIO exchanges and provide my clients with amazing promotions and discounts - such as a deposit of 10k USDT MEXC + $500 discount on futures trading commission. There are similar promotions on GATEIO, which I regularly publish in my channel @dogestop

Since February 2024, I have been running a YouTube channel and podcast, links to which I provide in the channel and you can view unique author’s information from a trading expert, a professional in his field and a guru of both spot and futures algorithmic trading. My nickname on telegram is @niko21mln and on social networks YouTube, Tiktok, Instagram, Twitter, etc. 21mln (21mlns).

[craftytigercandy]

Google Search Central Ehemals Webmasters Web SEO Ressourcen

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Brauchen Sie Hilfe Bei Den Ersten Schritten Mit WordPress?

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Ein weiteres kostenloses Tool, Down for Everyone or Just Me, zeigt Ihnen, ob Sie der Einzige sind, der Probleme mit Ausfallzeiten hat, oder ob alle ein Problem haben. Wenn Sie eine IP-Adresse anpingen, senden Sie ein "Signal" an sie. Wenn die IP-Adresse antwortet, wissen Sie, dass sie betriebsbereit ist. Sie sollten schnell mehrere Antworten erhalten, mit einer Zeitangabe neben jeder Antwort. Jeder, der eine Website besitzt und betreibt, hat entweder SEO-Tools verwendet oder von ihnen gehört, sie aber nicht auf der Website angewendet. SEO ist die gebräuchliche Abkürzung für Search Engine Optimization (Suchmaschinenoptimierung).

Bei größeren Problemen können Sie gegen eine geringe Gebühr eine zweite, detailliertere SEO-Audit-Checkliste erhalten. Mit der erweiterten Verfügbarkeitsüberwachung können Sie alle verschiedenen Aspekte Ihrer Webpräsenz verfolgen, und vergessen Sie nicht, Ihre APIs und Webanwendungen auf vollständige Interaktionen zu überwachen. Sie können das alles 30 Tage WordPress Templates lang kostenlos testen, ohne Kreditkarte und ohne jegliche Verpflichtung.

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Testen Sie die Leistung, Funktionalität und Betriebszeit von Websites, Webanwendungen, Servern und APIs. Kostenlos für bis zu 250 Tests pro Monat von fünf gleichzeitigen Standorten aus. Der Website-Checker liefert nur Informationen darüber, ob Ihre Seite in Suchmaschinen wie Google sichtbar ist. Darüber hinaus erhalten Sie einen Überblick darüber, wie Ihre Seite in den Suchergebnissen angezeigt wird.

Ahrefs liefert uns detaillierte und tiefgehende Daten, die wir für strategische Entscheidungen benötigen. Google Search Central, ehemals Google Webmasters, ist dazu da, den richtigen Leuten zu helfen, Ihre Inhalte zu sehen, mit Ressourcen, die Ihre Website für die Google-Suche auffindbar machen. Er vereinfacht meine täglichen SEO-Optimierungen und -Berichte erheblich. Um Ausfallzeiten zu vermeiden, müssen Sie wissen, was die Ursache dafür ist. Um festzulegen, wie oft diese Tests durchgeführt werden, klicken Sie auf die hinzugefügte Website und dann auf die Schaltfläche Zuverlässigkeitsstatus.

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[nvstly]

Revolutionizing Discord for Traders: The All-in-One Finance Bot

In today’s fast-paced financial markets, having quick access to real-time data, trade insights, and the ability to share trades with a like-minded community is invaluable. That’s where NVSTly’s Discord bot comes in. It’s more than just a bot — it’s a powerful tool for social trading, designed to help traders and investors track their trades, share insights, and collaborate with others in real-time, all within Discord.

What the NVSTly Discord Bot Does

NVSTly’s Discord bot is built with the goal of making financial data and trading insights easily accessible to the entire trading community on Discord. Whether you’re a seasoned trader or just starting, the bot helps you stay on top of your trades and market trends. Some of the key features of the bot include:

Real-Time Trade Tracking & Sharing: The bot tracks your trades and allows you to share them with others. Whether you’re trading stocks, options, forex, or cryptocurrencies, your trades are instantly shared with your followers and can be posted to social media or sent through Discord DMs or webhooks, fostering a transparent and collaborative environment.

Trader Stats & Performance Recaps: The bot generates visual reports of your trading performance, including win rates, total gains, and individual trade stats. You can view a trader’s daily, weekly, or monthly recaps, complete with details on stock tickers, options info, and profit/loss calculations.

Market Data & Charts: Get instant access to live market data, stock charts, and detailed information on tickers. The bot provides a variety of commands for stock price movements, charts, and other data, with plans to expand this to cover more markets in the future.

Comprehensive Coverage: The bot currently supports stocks, options, forex, and crypto for trade tracking and sharing. Futures markets are also planned for the future. While the bot supports these markets for trade tracking, data-related features like market sentiment analysis or earnings reports will be available in the future.

How the Bot Integrates with NVSTly’s Social Trading App

The NVSTly Discord bot is fully integrated with the NVSTly social trading app, creating a seamless experience for users across platforms. Traders can track their trades on the app, and the bot will automatically share those trades directly with their followers, via DMs, social media, or webhooks. This integration means that everything you do on the NVSTly app can be easily shared with your community in real-time via Discord, making it simple to stay connected with your trading network.

The bot doesn’t just show trades — it also gives users insights into their trading performance and connects them with other traders for discussions, tips, and strategies. With NVSTly’s unique social features, traders can collaborate, share strategies, and learn from each other in a dynamic and interactive environment.

What’s Next for the NVSTly Discord Bot?

The future of the NVSTly Discord bot is incredibly exciting, with plans to add even more features designed to elevate the trading experience. Some of the upcoming features include:

Expanded Market Coverage for Data Commands: In addition to stocks, the bot will soon offer data-related commands for crypto, forex, and futures markets. This will allow users to access even more comprehensive market data, including earnings reports, options flow, and more.

AI & Machine Learning Integration: NVSTly plans to integrate AI and machine learning to generate trade signals, analyze market trends, and even offer personalized trading tips. This will help traders refine their strategies and make more informed decisions.

Real-Time Alerts & Notifications: Users can already receive trade alerts sent directly to their DMs from traders they follow. In the future, users will also be able to set more customized alerts based on price targets or specific market activity.

Why the NVSTly Discord Bot is Perfect for Trading Communities

Discord has become a hub for traders and investors, and the NVSTly Discord bot takes full advantage of this by providing a platform where traders can interact, share trades, and learn from one another. The bot’s ability to instantly share trade recaps and stats creates an environment of transparency and collaboration. Traders can discuss strategies, ask questions, and even challenge each other to improve their performance.

By integrating market data, charts, and trade performance tracking, the bot offers a complete package for traders on Discord. It’s not just a tool for sharing trades — it’s a vital part of a thriving trading community.

Why NVSTly’s Discord Bot is the Fastest Growing Finance Bot on Discord

With its comprehensive features and seamless integration with the NVSTly app, the NVSTly Discord bot has quickly become the go-to tool for traders on Discord. What sets it apart from other finance bots is its focus on user engagement. The bot is not just about providing data — it’s about building a community of traders who can share their experiences, insights, and successes.

Traders have flocked to the NVSTly Discord bot because it provides real-time data, easy trade tracking, and powerful analytics — all in a user-friendly format. It’s no wonder it’s quickly becoming the fastest-growing finance bot on Discord.

On Track to be the Greatest Finance Bot on Discord

NVSTly is on track to become the greatest finance bot on Discord, if it’s not already. With plans for expanding market coverage, adding advanced AI-driven features, and constantly improving its user experience, the bot is poised to revolutionize the way traders use Discord.

By offering a comprehensive set of tools that integrate seamlessly with the NVSTly app, the bot is becoming an essential resource for traders who want to stay informed, track their performance, and engage with the trading community.

NVSTly is available for free on web, mobile devices (iOS & Google Play), and is fully integrated with Discord via a unique bot- the only of it’s kind and available to any server or trading community on Discord. Or feel free to join a community of over 45,000 investors & traders on our Discod server.