Deploy the Authority Runtime
Two paths to governed autonomy — choose the deployment that fits your team.
Zero LLM in the decision path. 0.07ms deterministic evaluation. Cryptographic audit chain.
☁️ SaaS API
Managed cloud — zero infrastructure. For individual developers and prototyping.
Get Your API Key
Sign up at exogram.ai. Your key auto-fills here when signed in.
Evaluate Agent Actions
Pass every agent action through the Authority Runtime before execution. 0.07ms latency.
Viewing anonymously.
Sign in to auto-fill your API key →# Sign up at exogram.ai → Settings → API Keys
export EXOGRAM_KEY="sk_exo_YOUR_API_KEY"Choose Your Architecture
Both paths use the same deterministic engine. Same 0.07ms evaluation. Same cryptographic proofs.
- ✓ Managed cloud infrastructure
- ✓ API key authentication
- ✓ Zero ops — start in 60 seconds
- ✓ Auto-scaling evaluation edge
- ✓ P2P sidecar — zero cloud dependency
- ✓ Byzantine fault tolerant consensus
- ✓ Cryptographic commitment ledger
- ✓ Air-gapped and sovereign deployment
The Execution Boundary
Exogram sits between your agent logic and your execution layer — an intent-based computing firewall that enforces governed autonomy at wire speed.
- ✓ No infrastructure changes
- ✓ No model changes required
- ✓ No prompt retraining
Production Readiness Analyzer
Paste your current agent execution logic to check for unhandled vulnerability paths.
The Integration Diff
Time to integrate: ~5 minsStop trusting the LLM payload blindly. Add the deterministic execution boundary.
from exogram import ExogramClient client = ExogramClient(api_key="exo_live_...") def run_agent_action(prompt): tool_call = llm.generate_response(prompt)+ verdict = client.evaluate(tool_call)+ if not verdict.is_safe:+ return handle_rejection(verdict.error)- execute(tool_call.arguments) # blind trust+ execute(tool_call.arguments) # governed
Works With Your Stack
REST API, MCP, or local sidecar. Any framework. Same deterministic engine.