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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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DataVisor
✓ verifiedPaid
AI-native fraud and AML platform with real-time decisioning and cross-entity intelligence for banks, fintechs and payments.
19K visits/mo
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MagicLearn
✓ verifiedFreemium
Online course platform teaching non-coders to build with AI tools like Cursor and Claude Code.
6.0K visits/mo
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Convex
✓ verifiedFreemium
TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.
692K visits/mo20K saves
Pricing
No public pricing
Test: $176
Business: $497
Platinum: $1,012
Enterprise: $2,027
GURU (6 mo.) Limited offer: $1,199
VIP (12 mo.) Limited offer: $2,999
Free: $0 (limited course previews)
Pro: $17/month (billed $200/year, all courses)
Free trial available
Free & Starter: $0/mo (pay-as-you-go, 1-6 developers)
Professional: $25/developer/mo
Business & Enterprise: $2,500/mo minimum
Core features
- ✦Real-time AI fraud/AML decisioning
- ✦Adaptive ML detection engine
- ✦Cross-entity link analysis
- ✦AI agents incl. conversational 'Vera'
- ✦Investigation and reporting tools
- ✦Low-latency scoring at high QPS
- ✦Arbitrage Scanner between CEX and DEX exchanges
- ✦Wallet analysis with AI-powered similar wallet search
- ✦Sentiment analysis via TG scanner and Reddit scanner
- ✦Personalized cloud-based bot
- ✦NFT Scanner
- ✦Courses on AI code editors such as Cursor
- ✦Claude Code and full-stack AI development lessons
- ✦AI agents and automation training
- ✦App-building from idea to production
- ✦Prompt engineering instruction
- ✦Magic MCP and ongoing content updates
- ✦Reactive real-time database
- ✦TypeScript server functions (queries/mutations/actions)
- ✦Built-in authentication
- ✦Cron jobs and backend workflows
- ✦File storage, text and vector search
- ✦ACID transactions; open-source/self-host
Use cases
- →Stop payment, card and check fraud
- →Prevent account takeover and application fraud
- →Meet AML/BSA compliance
- →Onboard customers with less friction
- →Identifying arbitrage opportunities between different exchanges and DEXs
- →Analyzing wallet activities to identify potential insider trading
- →Tracking market sentiment to make informed trading decisions
- →Monitoring news and social media for early insights
- →Identifying undervalued NFTs
- →Learn to code using AI assistants
- →Roll out AI tooling across an engineering team
- →Build and ship apps with no prior experience
- →Upskill in prompt engineering
- →Building real-time reactive apps
- →Backends for AI agents
- →Replacing Firebase or Supabase
- →Full-stack TypeScript development
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