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Qualifire vs Faylee

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

Qualifire compared with Faylee
DetailQualifire logo QualifireFaylee logo Faylee
What it doesReal-time guardrails and evaluation for LLM applications Bug reporting tool for web apps and coding agents
StageNot given Not given
FoundedNot given Not given
Based inNot given RS
Pricing modelFreemium Freemium
PricingFree plan includes 3 million tokens per month, unlimited users, and community support. Basic plan is $0/month with 300k monthly tokens and up to 3 protection rules. Pro plan is $550/month including 1 billion monthly tokens, unlimited protection rules, and email and Slack support. Additional tokens a Free plan: up to 3 members, 30 recordings per month, kept for 14 days. Team plan: $12 per member per month (billed yearly at $144) or $15 per member per month (monthly billing), with 14-day free trial. Enterprise: custom pricing on annual contract.
Key features
  • Real-time guardrails with sub-20ms latency
  • Hallucination detection and prevention
  • Small language model judges tailored to business domain
  • Content moderation and safety checks
  • PII detection and masking
  • Prompt management and studio
  • Complete observability and tracing
  • Rogue red team platform for agent evaluation
  • Multiple deployment options
  • Policy enforcement and custom rules
  • Console error logs with full stack traces
  • Network request capture and replay as cURL or HAR
  • Instant replay of the last few minutes without reproduction
  • Page DOM replay for element inspection
  • Automatic sensitive data redaction and masking
  • MCP server integration for AI coding agents
  • Integrations with Linear, Jira, GitHub, Slack, Sentry and more
  • Recording links for non-technical users without extension
What makes it different
  • 99.6% faster evaluation than alternatives
  • 97% cost reduction compared to traditional solutions
  • Small judges providing low latency and cost efficiency
  • Contextual guardrails that consider application context
  • Purpose-built for agentic systems, RAG, and chatbots
  • Complete bug context in one shareable link instead of back-and-forth messages
  • AI coding agents can read the full report and propose fixes automatically
  • Automatic sensitive data protection before any upload
  • Works with any modern browser through recording links, no extension required
  • Integrates with existing dev tools and issue trackers automatically
Community votes00
DR (Domain Rating by Ahrefs)28 no change since last check3 no change since last check
Trust Flow (Majestic)113
Citation Flow (Majestic)2627
Referring domains (Majestic)7130

5 details filled in for both companies.

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