Transparency

How We Review

Our testing methodology evaluates AI agent platforms across 50+ criteria. We believe in radical transparency: every score, every source, and every testing procedure is documented below.

📊 Evaluation Framework

Every platform is evaluated across 6 dimensions, each weighted by importance to enterprise buyers:

25% Task Success Rate (100-task stress test)
20% Security & Compliance
15% Enterprise Features
15% Cost Efficiency (TCO analysis)
15% Platform Stability & Reliability
10% Ecosystem & Community Health

🔬 Testing Process

100-Task Stress Test

Each platform runs an identical set of 100 tasks spanning: data extraction (20), web research (20), multi-step workflows (20), tool orchestration (20), error recovery (10), and edge cases (10). Tasks are scored pass/fail with partial credit for near-completion.

Security Audit

We verify encryption (at-rest & in-transit), sandboxing, access controls, audit trails, and supply-chain risks against official documentation, third-party audits (SOC 2, Unit 42), and GitHub issue trackers.

Stability Monitoring

We track GitHub issues daily, monitor Reddit communities, and run 48-hour uptime tests. Release regressions, crash loops, and gateway stability are documented with source links for every claim.

TCO Analysis

Total Cost of Ownership includes: license/subscription costs, infrastructure (hosting, DB, backups), labor (installation, maintenance, upgrades), and opportunity cost. Self-hosted "free" platforms are priced at honest engineering rates.

📖 Data Sources & Update Cadence

Source What We Track Frequency
GitHub IssuesBugs, regressions, feature requests, PR velocityDaily
Reddit (r/openclaw, r/n8n, etc.)User sentiment, real-world problems, churn signalsDaily
Official DocumentationFeature claims, security posture, pricingWeekly
Third-Party AuditsSOC 2, Unit 42, security researcher findingsAs published
Independent TestingTask success rate, response time, error recoveryQuarterly
Hacker News / Tech PressIndustry trends, platform announcementsDaily

⚠ Limitations & Honest Disclosure

  • Snapshot, not continuous: Our testing captures platform performance at a point in time. Platforms evolve rapidly — today's results may not reflect next week's reality.
  • Public data only: We use publicly available information and our own testing. Enterprise customers with custom deployments may experience different results.
  • Task selection bias: Our 100-task stress test aims for breadth, but no test suite can cover every real-world use case. Your specific tasks may perform differently.
  • We recommend POCs: Always run a proof-of-concept with your top 2 platforms using your actual workloads before making a final decision.
  • Corrections policy: If you find an error, email us. We publish corrections prominently and update scores within 48 hours of verification.

Last methodology update: June 26, 2026 · Next full re-evaluation: September 2026 · Scores updated continuously as new data arrives.