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AlwaysQA vs DidWork

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

AlwaysQA compared with DidWork
DetailAlwaysQA logo AlwaysQADidWork logo DidWork
What it doesAI testing tool that runs browser checks, diagnoses failures, and sends fix-ready evidence for critical web app flows Independent verification for AI agent outcomes
StageNot given Startup
FoundedNot given Not given
Based inPL Not given
Pricing modelFreemium Freemium
PricingStarter: 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. Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
Key features
  • 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
  • Independent outcome verification with VERIFIED, FAILED, or UNKNOWN status
  • First-party adapters for Stripe, GitHub, Linear, Sentry, Resend, and HTTP endpoints
  • MCP integration with Claude Code, Cursor, and any MCP host
  • GitHub Actions required check that fails on unverified claims
  • Audit trail storing claims, evidence, and verdicts separately
  • Capability inspection before agents call tools
  • Read-only credential access with AES-256-GCM encryption
  • Continuous monitoring with watches every 5-10 minutes on Pro plan
  • Evidence retention for 7 days on Hobbyist, 1 year on Pro
What makes it different
  • 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
  • Refuses to guess: returns UNKNOWN rather than false positives when evidence is unreachable
  • Neutral gate between agent execution and success verification
  • Runs the same way in production as in development
  • Never needs write access, only reads authoritative state
  • Structured audit trail for debugging and agent evaluation
Community votes00
DR (Domain Rating by Ahrefs)9 no change since last check2 no change since last check
Trust Flow (Majestic)31
Citation Flow (Majestic)2223
Referring domains (Majestic)3514

5 details filled in for both companies.

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