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Hypotize vs Kairos

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

Hypotize compared with Kairos
DetailHypotize logo HypotizeKairos logo Kairos
What it doesThe agent-native Growth OS that turns your AI agent into a disciplined growth hacker The transaction layer for AI agents
StageNot given MVP
FoundedNot given Not given
Based inUS US
Pricing modelNot given Contact for pricing
PricingFree: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects. Per-execution pricing: one fee per execution that returns proof, charged only when proof comes back. Failed or cancelled runs cost nothing. Planning and approvals are free.
Key features
  • Complete experiment backlog with candidate ideas
  • Status tracking from idea to outcome
  • Shared experiment learnings across team and agents
  • ICE, PIE, RICE scoring frameworks with voting
  • Enforced experiment stages with mandatory results and learnings
  • MCP server for AI agent read and write access
  • Skills that teach agents the methodology
  • Plugin for Claude Code and Codex
  • Web app for team review and collaboration
  • OAuth security with granular permissions
  • Boundary approval system for controlled execution
  • Checkpoint-based resumable execution
  • Verifiable proof of completion
  • Composable proof for multi-agent workflows
  • Per-execution pricing model
  • Integration with multiple agent frameworks
What makes it different
  • Agents cannot bypass the method: tests cannot close without measured results and written learnings
  • Enforced workflow prevents confident guesses and invented wins
  • Shared memory ensures experiments are never repeated and evidence is preserved
  • Agents read and write to the same record as teams under identical rules
  • Data stays in EU on Hetzner servers in Finland
  • Pay only for verified results, not for attempts or planning
  • Human-approved boundaries ensure agent actions stay within limits
  • Interruptible checkpoints allow pausing and resuming executions
  • Proof is built into results for auditability and composability
Community votes00
DR (Domain Rating by Ahrefs)5 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)10
Citation Flow (Majestic)1810
Referring domains (Majestic)41

5 details filled in for both companies.

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