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Netra vs AlwaysQA

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 AlwaysQA
DetailNetra logo NetraAlwaysQA logo AlwaysQA
What it doesPlatform to evaluate, trace, monitor and security test AI agents AI testing tool that runs browser checks, diagnoses failures, and sends fix-ready evidence for critical web app flows
StageNot given Not given
FoundedNot given Not given
Based inNot given PL
Pricing modelFreemium Freemium
PricingFree 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 Starter: 30-day free trial, then $9/month (10 active Test Cases, 50 Runs per Billing Period, 2,000 bug reports classified). Basic: $29/month (50 active Test Cases, 200 Runs, 10,000 bug reports). Pro: $199/month (100 active Test Cases, 1,000 Runs, 10,000 bug reports). Enterprise: Custom pricing.
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
  • Web testing in real browser
  • API testing with response validation
  • Plain-language test case creation
  • MCP integration for coding agents
  • Bug classification and prioritization
  • Automated regression on schedule
  • Evidence collection and browser replay
  • Team roles and shared subscription
  • CLI for test case drafting
  • Signed-in workflow testing
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
  • No test code required—describe workflows in plain language
  • Integrates directly with coding agents via MCP
  • Clear, evidence-based test outcomes with diagnostics
  • Adaptive to app changes without test rewrites
Community votes00
DR (Domain Rating by Ahrefs)13 −1 (down) since last check9 no change since last check
Trust Flow (Majestic)103
Citation Flow (Majestic)2622
Referring domains (Majestic)3235

5 details filled in for both companies.

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