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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.
⇄ Comparison dimension — pick the market you're actually shopping in
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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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Regex.ai
✓ verifiedFree
Experimental AI tool that suggests regex patterns from highlighted example text, for developers who dislike writing regex by hand.
3.8K visits/mo935 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
No public pricing
Free: $0/Monthly
Starter: $14.99/Monthly
Plus: $24.99/Monthly
Premium: $49.99/Monthly
Ultra: $99.99/Monthly
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
- ✦Text highlighting to define target matches
- ✦Multiple candidate regex outputs shown side by side
- ✦Live preview of what each pattern matches
- ✦Access to 200+ AI models in one place
- ✦Comprehensive AI toolkit for various LLM needs
- ✦Personalized customer support and onboarding
- ✦Universal interface with seamless local model integration
- ✦Multi-modality support for file and folder analysis
- ✦Developer tools for building applications
- ✦Deep research capabilities with Datavibes Pro
- ✦Bot creation tools with Botcraft and Typebot
- ✦Model comparison with Beam
- ✦Content creation with Magic AI
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
- →Quickly building a regex for extracting emails or similar patterns
- →Comparing several regex approaches against sample data
- →Coding assistance and application development
- →Document creation and analysis
- →Comprehensive research and data analysis
- →Content creation for articles, blogs, and marketing
- →Bot development for websites and customer support
- →Model comparison for optimal AI selection
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