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Toxic vs Corvis

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Toxic compared with Corvis
DetailToxic logo ToxicCorvis logo Corvis
What it doesOn-device moderation that flags hateful, abusive and threatening text in 23 European languages, before the message is sent. The night watch for apps built with AI that tests checkout on every preview, watches live apps and payments, and identifies the deploy behind a break
StageMVP Not given
FoundedNot given Not given
Based inNL IN
Pricing modelFreemium Freemium
PricingFree up to 100k monthly active devices with unlimited inference. Custom licenses available. Watch: Free (1 app, 1 journey read-only on production daily, security checks, 1 uptime monitor). Guard: $19/month (5 journeys on every preview and production deploy, business pulse, 20 auto-fixes a month, 10 monitors). Guard + Calls: $49/month (everything in Guard plus 10 journeys per app, Corvis ca
Key features
  • Three separate scores: hateful, abusive, threat
  • Ten target signals under the hate score: race, color, religion, descent, national or ethnic origin, sexual orientation, gender, disability, age, other
  • Runs fully on device with no server calls
  • Supports 23 European languages from one model file
  • 80MB model size optimized for iOS, Android, and browser
  • 0.847 macro F1 accuracy on Multilingual HateCheck
  • Warn before message is sent
  • Comment triage without infrastructure
  • Journey testing on preview deployments in real browser
  • Security checks on every push
  • Uptime monitoring
  • Leaked key detection and rotation help
  • Screenshot and fix brief for failing steps
  • Telegram alerts with voice briefings
  • Export journeys as Playwright tests
  • Supabase row-level security check and auto-fix
What makes it different
  • Multilingual support across 23 European languages in a single 80MB model
  • Complete privacy with no data leaving the device
  • Free access up to 100k monthly active devices with unlimited inference
  • Tests real customer journeys in a real browser on every preview, not AI-generated tests grading their own work
  • Learns your app's normal payment and signup patterns to detect drops when they occur
  • Works across Vercel, Supabase and Stripe together for full app visibility
  • Calls you on critical issues like stopped payments instead of just sending alerts
Community votes00
DR (Domain Rating by Ahrefs)37 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)200
Citation Flow (Majestic)390
Referring domains (Majestic)6160

6 details filled in for both companies.

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