OmniDetect vs Qualifire

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

OmniDetect compared with Qualifire
Detail	OmniDetect	Qualifire
What it does	Free AI content detector that shows which passages read as AI, how strongly, and what to change before you submit.	Real-time guardrails and evaluation for LLM applications
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	Free tier: up to 2,000 characters preview or 2,500 Word Tokens for account holders. $9.99 7-Day Pass: 30,000 Word Tokens valid for seven days, includes passage-level revision guidance and re-check loop.	Free 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
Key features	Multiple detection engines that route based on language accuracy rather than averaging Passage-level analysis showing which parts read as AI with evidence OmniScore from 0-100 with confidence breakdown by engine Re-check revised text within seven days using same Word Token balance Free guest access without signup or credit card required Published accuracy measurements including failure cases Support for multiple languages including English and Japanese Document management with ability to delete at any time	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
What makes it different	Shows evidence and limitations alongside results instead of just a score Routes to best engine per language rather than averaging detectors Guided revision workflow with re-check loop to improve flagged passages	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
Community votes	0	0
DR (Domain Rating by Ahrefs)	9 no change since last check	28 no change since last check
Trust Flow (Majestic)	6	11
Citation Flow (Majestic)	31	26
Referring domains (Majestic)	109	71

5 details filled in for both companies.

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