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Persqo vs DidWork

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

Persqo compared with DidWork
DetailPersqo logo PersqoDidWork logo DidWork
What it doesAI agents that test like real people Independent verification for AI agent outcomes
StageNot given Startup
FoundedNot given Not given
Based inIL Not given
Pricing modelFreemium Freemium
PricingFree: 3 sessions, no card required. Starter: $59/mo (40 sessions/month). Pro: $249/mo (200 sessions/month). Team: $699/mo (600 sessions/month). Enterprise: from $2,500/mo (custom session volume) with 4-week pilot for $3,900. Annual plans save 20%. Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
Key features
  • AI personas that behave like real users
  • Detailed reports with screenshots and console logs
  • Claude Code integration for automated fixes
  • Jira integration for issue tracking
  • Session replay and AI analysis
  • MCP for coding agents
  • Mobile web and responsive testing
  • Multiple AI personas with different behaviors
  • Support for any web framework
  • monday.com integration in early access
  • 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
  • Ready-to-fix prompts for Claude Code instead of just bug reports
  • Tests web apps without needing special permissions or integrations
  • Customer ticket investigation with developer-ready answers
  • AI personas that mimic real user behavior across different devices and languages
  • 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)1 +1 (up) since last check2 no change since last check
Trust Flow (Majestic)01
Citation Flow (Majestic)1523
Referring domains (Majestic)214

5 details filled in for both companies.

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