Netra vs Fileverity

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 Fileverity
Detail	Netra	Fileverity
What it does	Platform to evaluate, trace, monitor and security test AI agents	Image and document authenticity verification
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	CA
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 Flash check per account (one image and one document). Image Pro: US$2.99 per report, US$23.90 for 10 reports (US$2.39 each), US$159 for 100 reports (US$1.59 each). Doc Pro: US$8.99 per report, US$69.90 for 10 reports (US$6.99 each), US$489 for 100 reports (US$4.89 each). Enterprise with API, on
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	Detects text changes after saving or digital signing Generates traceable, timestamped reports verifiable by anyone Supports on-premises and fully offline deployment for Enterprise Files never retained after analysis
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	Files are never retained or used for training data Proprietary models continuously updated for all major generator families in one analysis Traceable, RFC 3161 timestamped reports bound to exact file by SHA-256 fingerprint Evidence-based findings instead of single scores with detailed basis and recommended actions On-premises deployment option with full offline capability and DPA for regulated environments
Community votes	0	0
DR (Domain Rating by Ahrefs)	13 −1 (down) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	10	0
Citation Flow (Majestic)	26	0
Referring domains (Majestic)	32	0

5 details filled in for both companies.

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