Add Scam Detection to Your App with ScamCheck API
Protect your application from scams and phishing with ScamCheck API. Enjoy 100 free scans monthly and structured JSON verdicts in a single call.
Stock photo for illustration only, not from the actual event
- Integrate fraud detection into your app with a single API call
- Receive structured JSON verdicts detailing risk scores and reasons
- Start free with 100 scans per month and keyless trial support
- Easily install via MCP for Claude Desktop or Cursor environments
Modern applications featuring chats, marketplaces, payments, or user-generated text inevitably expose users to fraudulent messages like fake KYC alerts, phishing links, and advance-fee cons. Building an in-house detection filter requires significant engineering effort and specialized resources.
A newly developed tool called ScamCheck addresses this challenge by allowing developers to embed scam detection directly into their applications through a single API call. Users can test text or URLs keylessly right away, with a free tier offering up to 100 scans every month.
- Submit text inputs or URLs via a POST request to the API endpoint
- The system analyzes the input and returns a structured JSON verdict
- Receive actionable insights such as blocking senders and avoiding suspicious links
Stock photo for illustration only, not from the actual event
The API response delivers comprehensive verdicts including risk levels, categories like phishing, and specific reasons such as requests for OTPs or disguised domain impersonation. It also outlines recommended next steps for protecting end users.
"This looks strongly suspicious and should be treated as a likely scam."
ScamCheck API Response
For production environments utilizing Node.js, developers can acquire a free API key via their dashboard. Furthermore, installation via MCP for Claude Desktop or Cursor allows AI agents to execute scan_message whenever suspicious content appears, proving useful for agentic commerce and support bots.
Leveraging external fraud detection APIs significantly reduces the burden of training and maintaining custom text-filtering models. This approach empowers smaller development teams to secure user bases rapidly without establishing dedicated threat intelligence departments from scratch.
Source: Dev.to
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