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Orgabot vs Axtary

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

Orgabot compared with Axtary
DetailOrgabot logo OrgabotAxtary logo Axtary
What it doesAI agent orchestration platform that models workflow with triggers, actors, stages, gates, permissions, and outcomes Content authorization for AI agents
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelNot given Not given
PricingNot given Local: free with CLI, SDK, local proxy, and MCP wrapper. Founding Team: $499 per month after a 30-day pilot, including guided setup, hosted approvals, team dashboard, verified ledger sync, and direct support.
Key features
  • Role-based organization with humans or AI agents in any position
  • Workflow definitions with triggers, stages, gates, and outcomes
  • Agent-agnostic design supporting Claude, Codex, Gemini, and local models
  • Scoped credentials with least privilege access per stage
  • Deterministic gates for tests, reviews, and approvals
  • Audit trail with hash-chained tamper-evident ledger
  • Local-first deployment with optional cloud hosting
  • Isolated git worktrees for independent work and verification
  • Budget tracking and spend monitoring per organization
  • Separation of duties enforced in code
  • Exact payload binding and hash verification
  • Policy engine with Cedar and Rego support
  • Local enforcement proxy and CLI
  • Hosted approvals dashboard and team coordination
  • Verifiable action ledger with audit trail
  • Model Context Protocol wrapper
  • Support for GitHub, Slack, Linear, Jira and cloud platforms
  • Runtime integration with Anthropic, OpenAI and Cursor
  • Credential-free playground and examples
  • ActionPass signed authorization artifact
What makes it different
  • Orchestration layer that treats work as executable processes rather than remembered habits or wikis
  • Roles swappable between humans and AI agents without rewriting workflows
  • Credentials and secrets held by infrastructure, never exposed to AI models
  • Autonomous AI decision-making within defined stages, deterministic controls at stage boundaries
  • Payload approval bound to exact hash, not summary—changes after approval are automatically rejected
  • Local enforcement with credential-free operation before team coordination layer
  • 30-day pilot model with no long-term commitment required
  • Open-source ActionPass artifact and verifier for transparency
  • Adapter-side verification prevents tool execution after payload tampering
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)23 −1 (down) since last check1 no change since last check
Trust Flow (Majestic)70
Citation Flow (Majestic)3128
Referring domains (Majestic)1861

3 details filled in for both companies.

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