Storewalk vs Qualifire

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

Storewalk compared with Qualifire
Detail	Storewalk	Qualifire
What it does	AI shopping agent readiness audit for e-commerce stores	Real-time guardrails and evaluation for LLM applications
Stage	Not given	Not given
Founded	Not given	Not given
Based in	UA	Not given
Pricing model	Free	Freemium
Pricing	Free to scan stores and receive full reports with findings and fix lists	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	Scans stores to check if AI shopping agents can find products Checks if agents can read prices, stock, delivery and returns as trusted text Tests if agents can reach payment step as a guest without obstacles Verifies order tracking and support access for agents Includes detailed fix list with effort estimates Runs 45 checks across 4 steps of agent journey Scans complete in about 5 minutes Allows comparing ready scores with up to two competitors Includes free consultation with Storewalk team	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	Tests stores specifically for AI agent readiness, not generic web auditing Shows exact step where agents would stop in the purchase journey Includes free consultation to prioritize fixes	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)	Not checked yet no change since last check	28 no change since last check
Trust Flow (Majestic)	0	11
Citation Flow (Majestic)	0	26
Referring domains (Majestic)	0	71

5 details filled in for both companies.

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