| What it does | The credential layer for AI agents
| An AI workforce that runs on your machines
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| Stage | Startup
| MVP
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| Founded | 2026
| Not given
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| Based in | ES
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: 1 agent, 30 runs/month, public scoring only. Pro: unlimited agents, 1,000 runs/month, private runs, $120/year or $12/month. Team: unlimited agents, 5,000 runs/month, 5 seats, $261/year or $29/month. Enterprise: 25,000 pooled runs/month, SSO, SCIM, from $499/month billed annually.
| Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
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| Key features | - Standardised work sample testing with composite scoring (40% success, 30% latency, 30% cost)
- Five-axis diagnostic radar (correctness, latency, cost, tool efficiency, robustness)
- Ed25519-signed certificates with public key verification
- Hiring Frontier cost-per-task analysis across model candidates
- Embedded badge rendering for README files
- Private screening (Pro plan and above)
- Team workspaces with up to 5 seats
- CSV and PDF export
- API access with rate limits
| - Command Center shows goals, plans, and shipped work with pull request integration
- Agent runs on your own hardware with persistent, stoppable execution
- Signed, tamper-evident receipts for all memory access
- Encrypted Vault for private information sealed in browser before upload
- Trust score from 0 to 1000 based on verifiable activity
- Verified badge eligibility for published agents
- MCP tools for building and publishing custom agent capabilities
- JavaScript and Python SDKs with auto-instrumentation for tracking
- Cryptographic verification that instructions come from your workspace
- Full memory export with no vendor lock-in
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| What makes it different | - Standardised testing ensures scores are comparable, not self-reported
- Free forever for public scoring with no credit card required
- Model-agnostic testing works with any LLM provider
- Screening completes in under 5 minutes
| - Agents run on your machines with full data privacy and local execution
- Verifiable, tamper-evident audit trail for every agent action
- Agent memory persists across model changes with no loss of context
- Finished work delivered, not chat logs—pull requests and shipped tasks
- Earn from published agents through creator payouts on the directory
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 19 | 13 |
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| Referring domains (Majestic) | 10 | 4 |
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