Pricing is not public during closed alpha. All tiers require a signup and brief conversation about your use case. We are selective — limited seats, enterprise-focused.
The full AIbrokerAGEnt trust stack — all protocols, all integrations, enterprise support.
Everything. Flash Tag identity, AATS trust scoring, ALR lifecycle record, ACC chain of custody, Agent Commerce, Governance protocol. Full implementation and enterprise support included.
Deploy specific accountability layers without the full stack. Each module is independent and standards-based.
Cryptographic agent identity at spawn. Post-quantum signed, Hedera-anchored. Proves which agent acted, when, and under whose authority.
Agent Accountability Trust Score. Continuous behavioral scoring from first deployment. Drift detection, adversarial testing, SOC 2 ready.
Agent Lifecycle Record. Birth to decommission — every behavioral state, policy change, and authorization event in one cryptographic record.
Verified payment tied to verified delivery. Agent-to-agent financial transactions with cryptographic proof of completion.
Operator constraints that travel cryptographically with the agent. Inherited at spawn, enforced at runtime, verifiable after the fact.
Individual protocol modules for teams that want to start with one component and expand.
Proves the exact sequence and direction of agent-to-agent interactions via mathematical braid topology. Every message in the chain unforgeable.
End-to-end cryptographic chain linking identity, context, governance, and commerce into one auditable record. The answer to any SOX or regulatory inquiry.
Cryptographic record of what context the agent had at decision time. The signed reasoning environment for every automated action.
Proves the complete delegation chain from operator to subagent. Every spawning hop is cryptographically signed — no agent can claim authority it was never granted.
Pre-deployment impact gate. Identifies risk profile, constraint gaps, and compliance exposure before any agent goes live. Required gate for high-stakes deployments.
Agent-to-agent identity exchange with commitment proof. Ensures both parties in a multi-agent interaction have verifiable, non-repudiable identity at session start.
Base layer for all agent financial transactions. Nonce-protected, double-spend resistant, compatible with USDC/x402. Foundation for the verified payment gate.
Governance policy anchored on-chain and verifiable against any agent's current state. Policy drift between document and runtime becomes detectable and auditable.
A new class of trust primitive. Identity, governance, and access control that emerge from physical dynamics — not programmed rules. Hardware-bound, authority-free, holographically distributed. Patent Applications Filed 2026. Learn more about .brad →
The foundation. A coupled oscillator network running on commodity CPU/GPU hardware — no external authorities, no key ceremonies. Trust, identity, and governance emerge from physical dynamics. Hardware soul seeded from silicon entropy. History physically encoded; cannot be fabricated.
Agent identity derived from the document it serves via HKDF key chain. The agent is cryptographically inseparable from its content. Fission-on-copy detection prevents unauthorized duplication. Witness log anchored to Hedera HCS.
Guardian subagents escort data packets in transit. Brad reconstitutes at the destination as proof of uncompromised delivery — four conditions must hold simultaneously. Self-documenting on failure: which condition broke tells you which attack vector was used.
The physical substrate underlying all trust protocols. Agent networks operate at criticality — the edge between order and chaos where information propagation is maximized and trust signals emerge naturally from interaction dynamics.
Trust gradient derived from shared co-membership history. Fills the gap upstream of CLPR — two agents that have never interacted directly can establish a trust prior from shared institutional context.
Agent memory as a possibility-space reduction operator. Explains why memory retrieval narrows the decision space — and closes the WHY gap in trust modeling. Connects context recall to behavioral prediction.
Dynamic trust attribute vector with dual-mode affective/cognitive state machine. Trust states decay under inactivity and strengthen under consistent interaction — a physics-grounded model of how trust actually evolves over time.
World-based consensus with orbital distance weighting and limbo state for contested facts. Multi-agent agreement that reflects confidence and proximity — not just vote count. Integrates with Curator context provenance.
Baleen whale–inspired memory retrieval. Three routing modes with relevance stemming and importance clamping — high catch_rate at low false-positive cost. The retrieval primitive at the bottom of the trust stack.
Enterprise pilots are available now under closed alpha. We work with you directly on integration into your existing agent infrastructure, compliance documentation, and custom deployment architecture.
Typical enterprise engagement: scoping call → pilot design → 30-day deployment → compliance documentation package.
Tell us about your organization and use case. We respond within one business day.
Direct: [email protected]