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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.

Canopy logo
Canopy
✓ verifiedPaid

AI content filter and parental-control app that strips explicit material from sites, social, and AI chatbots without full blocking.

1.5M visits/mo
Flagright AI logo
Flagright AI
✓ verifiedPaid

AML and fraud compliance platform pairing transaction monitoring, screening, and explainable AI agents for financial institutions.

39K visits/mo321 saves
Groq logo
Groq
✓ verifiedFreemium

Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.

3.6M visits/mo
Pricing
Solo: $8.33/mo (1 device, billed annually)
Multiple: $9.99/mo (up to 5 devices)
Individual: $8.33/mo (up to 3 devices)
Family: $9.99/mo (up to 10 devices)

Free trial available

No public pricing

GPT-OSS 20B: $0.075 per 1M input tokens ($0.30 per 1M output)
GPT-OSS 120B: $0.15 per 1M input tokens
Core features
  • Real-time explicit-content filtering
  • AI chatbot filtering (ChatGPT, Gemini, Claude, Grok)
  • Sexting detection and alerts
  • Screen-time limits and app blocking
  • Removal-prevention anti-tampering
  • Location alerts and social monitoring
  • Real-time transaction monitoring and rule engine
  • Explainable AI forensics agents
  • Dynamic risk scoring
  • Watchlist/sanctions/PEP screening
  • AI-native case management
  • Automated SAR filing to FinCEN and 70+ GoAML countries
  • LPU custom inference hardware
  • GroqCloud tokens-as-a-service API
  • High-speed, low-latency inference
  • Pay-as-you-go token pricing
  • Free API key to start
  • Broad open-model support
Use cases
  • Protect children from explicit content online
  • Prevent sexting on a child's device
  • Set healthy screen-time boundaries
  • Personal content filtering for adults
  • AML compliance and monitoring
  • Reducing false-positive alerts
  • Streamlining fincrime investigations and SAR filing
  • Running LLM inference at high speed
  • Cutting inference costs at scale
  • Powering low-latency AI chat apps
  • Serving models via a hosted API
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