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Scam AI
ScamVerify is an AI powered threat intelligence platform that helps consumers verify phone numbers, websites, text messages, and emails for scam risk.
Every lookup cross-references multiple data sources and delivers an AI synthesized risk assessment with a 0-100 risk score and plain English verdict.
Data Sources - FTC Do Not Call Registry (2.4M+ complaint records) - FCC Consumer Complaints (443K+ records) - Telecom carrier forensics (line type, caller name, carrier risk) - Malware threat feeds (URLhaus, ThreatFox covering 50,000+ malicious domains) - Robocall detection systems - Community reports from verified users
Free tier includes complimentary lookups with full risk scores and verdicts. Paid plans ($4.99 to $24.99/mo) unlock additional lookups, detailed FTC/FCC complaint history, carrier forensics, AI narrative analysis, and downloadable PDF reports.
Founded in 2026 by a technology executive with 25 years of enterprise platform experience and a background in fraud detection systems at scale.
Plotly ScamVerifyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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ScamVerify's answer:
Everyday consumers who receive suspicious phone calls, text messages, or emails and want a fast, honest answer about whether it is a scam. Secondary audience includes small business owners verifying unknown contacts and adult children helping protect elderly parents from phone fraud.
ScamVerify's answer:
ScamVerify is the only platform that combines FTC complaint data, FCC consumer complaints, telecom carrier forensics, malware threat feeds, and community reports into a single AI-synthesized risk assessment. Instead of just checking a phone number against one database, it cross-references multiple federal and industry sources and delivers a plain English verdict that anyone can understand.
ScamVerify's answer:
Most competitors focus on a single channel like phone calls or websites. ScamVerify covers phone numbers, websites, text messages, and emails in one platform. The free lookup gives you a real risk score and verdict, not just a teaser to upsell you. The AI analysis explains why something is risky in plain language, not just a number or color code.
ScamVerify's answer:
Next.js, TypeScript, React, Tailwind CSS, Supabase PostgreSQL, Drizzle ORM, OpenAI GPT-4o-mini, Anthropic Claude, Stripe, Vercel, Trigger.dev
ScamVerify's answer:
ScamVerify was born from personal experience. The founder was first scammed as a college student when he tried to buy a laptop on Craigslist and the seller disappeared with his payment. Years later, his mother received a call from someone impersonating her cousin using AI voice cloning. That was the tipping point. With 25 years of experience building enterprise platforms and a background in fraud detection at Tagged, Myspace, ADP, and Hyland Software, he built ScamVerify to give consumers real tools to fight back, not black boxes with unexplained trust scores, but clear verdicts backed by government data and hard evidence.
Based on our record, Plotly seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
ScamAdviser - Check if a website is a scam website or a legit website. ScamAdviser helps identify if a webshop is fraudulent or infected with malware, or conducts phishing, fraud, scam and spam activities. Use our free trust and site review checker.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Truecaller - Find a person by a name or phone number worldwide for free using Truecaller.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Nomorobo - Nomorobo blocks annoying robocalls, telemarketers, and phone scams.
