| What it does | Content authorization for AI agents
| Standing AI teams that run whole business functions around the clock
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| NZ
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| Pricing model | Not given
| Freemium
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| Pricing | 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.
| Free: 200 turns, 1 running team, up to 5 agents. Pay as you go: US$20 buys 2,000 turns. Starter: US$29/month with 2 running teams, up to 15 agents, 5,800 agent turns monthly. Business: US$99/month with 5 running teams, up to 50 agents, 19,800 agent turns monthly. Company: US$399/month with 20 runnin
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| Key features | - 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
| - Shadow mode for verification before live operation
- Learns from documents, help centres and past tickets
- Hard spending caps per team and job
- Works with 102+ integrations
- Kill switch to stop any team
- Approval workflows for risky actions
- Team memory and learning across jobs
- MCP server and REST API for AI agents
- Encrypted credential storage per connection
- 26+ ready-made teams for different functions
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| What makes it different | - 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
| - Teams learn from your actual business documents and past work, not generic templates
- Shadow mode proves capability before autonomous operation
- You bring your own model key and pay providers directly, no markup
- Granular security controls: ask-before actions, credentials encryption, kill switches
- Works with AI agents through MCP or REST API
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 1 ● no change since last check |
| Trust Flow (Majestic) | 0 | 0 |
| Citation Flow (Majestic) | 28 | 18 |
| Referring domains (Majestic) | 61 | 5 |