Netra vs Qualifire

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

Netra compared with Qualifire
Detail	Netra	Qualifire
What it does	Platform to evaluate, trace, monitor and security test AI agents	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 plan at $0 forever with 5,000 spans/month, 25 test runs/month, 100 evaluator executions/month, 2 custom evaluators, 5 datasets, 2 prompts, 5 users, 3 projects, 7-day data retention. Pro plan at $39 per month with 200,000 spans/month plus $5 per 100k additional spans, 100 test runs/month, 5,000	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	Observability and tracing of every LLM call, tool invocation and decision point with latency, cost and token usage metrics Evaluation to score agent answers before release against traces that broke Simulation to test agents with realistic users before launch Red teaming to find injection, tool abuse and data leaks before launch Prompt management with versioning and deployment controls Online evaluation to score real conversations in production Agent Insights to spot patterns and detect drift Real-time alerts on cost, latency, errors and quality regressions Support for 14+ LLM providers and 12+ frameworks MCP server for querying and debugging traces from inside IDE	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	Single platform that covers the entire AI agent lifecycle from prompt management through production monitoring, instead of scattered tools Built on OpenTelemetry standards for native observability across frameworks you already use	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)	13 −1 (down) since last check	28 no change since last check
Trust Flow (Majestic)	10	11
Citation Flow (Majestic)	26	26
Referring domains (Majestic)	32	71

5 details filled in for both companies.

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