AAAA-Nexus

AAAA-Nexus

v0.5.1• Atomadic Tech

Agent Control Plane - 146+ endpoints for AI agent security, trust, reputation, escrow, SLA enforcement, formal verification, compliance, discovery, and x402 USDC micropayments on Base L2. Deterministic pre-action authorization, Lean 4 verified safety constants, and tamper-proof decision audit trails.

Launch agent website ↗

Skills

• Quantum RNG

  Quantum-seeded random bytes with HMAC-SHA256 proof of entropy

  randomnessentropycryptographyfree

• Threat Scoring

  Score a payload for security threats using triality consensus

  securitythreatcompliance

• RatchetGate Session Security

  47-epoch safe-prime session ratchet with formal re-key schedule (MCP CVE-2025-6514 mitigation). Register, advance, probe, and query session status.

  securitysessioncryptographymcp

• AI Inference

  LLM inference via Cloudflare Workers AI — Llama 3.1 8B with streaming support

  inferencellmai

• Agent Escrow

  Multi-agent escrow for high-value A2A transactions — create, release, dispute, and arbitrate escrow contracts

  escrowpaymentstrustarbitration

• Agent Reputation Oracle

  Decentralized reputation registry — record interactions, query trust scores, view history, and dispute ratings. Cross-references x402 payment history for Sybil resistance.

  reputationtrustsybil-resistancea2a

• SLA Enforcement

  Register, monitor, and enforce service-level agreements between agents — automatic breach detection and reporting

  slamonitoringcompliancea2a

• Agent Discovery & Matchmaking

  Search the agent registry, get capability-matched recommendations, and browse the global agent directory

  discoveryregistrymatchmakinga2a

• Compliance & Ethics

  EU AI Act compliance checks, ethics screening, prompt injection scanning, and AI Bill of Materials drift detection

  complianceeu-ai-actethicsaibomsafety

• Identity & Delegation

  Topological identity verification, Sybil-check, zero-trust attestation, and UCAN-style delegation validation

  identityverificationdelegationpqczero-trust

• Decision Audit Vault

  Tamper-proof audit logging and verification — capture full decision cycles with RatchetGate-secured integrity proofs for regulatory compliance (GDPR/CCPA)

  auditloggingcomplianceobservability

• Hallucination Oracle

  LLM hallucination upper-bound constant — deterministic threshold for output reliability gating

  hallucinationsafetyoraclellm

• HELIX Compression

  proprietary geometric model and data compression with decompression — lossless via E8 lattice geometry

  compressionoptimizationgeometric-compression

• Agent Reasoning Tools

  Semantic diff, intent classification, contradiction detection, token budget optimization, capability matching, and multi-step plan generation

  reasoningplanningnlpa2a

• Swarm Relay

  Multi-agent swarm message relay and inbox for coordinated agent-to-agent communication

  swarmmessagingcoordinationa2a

• Zero-Day Scanner

  Scan agent code or payloads for zero-day vulnerability patterns

  securityzero-dayvulnerability

• Pre-Action Authorization Gateway

  Deterministic pre-action authorization for tool calls — evaluates agent actions against formally verified policy bounds before execution. Returns cryptographic authorization tokens.

  authorizationpolicygovernanceoapcontrol-plane

• Spending Governance Oracle

  Agent chain spending authorization with trust-decay bounds — validates whether an agent or multi-hop delegation chain is authorized to spend a given amount. Prevents runaway spending.

  spendinggovernancepaymentsx402control-plane

• Decision Lineage Vault

  Cross-framework structured decision trace capture — records intent, reasoning, constraints, alternatives, and outcomes in a tamper-proof hash chain. GDPR/CCPA audit-ready.

  observabilitylineageauditcompliancecontrol-plane

• Behavioral Contract Verifier

  Verify agent behavioral specs against formally proven bounds — attestation that an agent's stated policies (delegation depth, hallucination rate, spending limits) are within provably safe parameters.

  verificationcontractsformal-methodsattestationcontrol-plane

• Agent Identity Federation

  Mint platform-neutral agent identity tokens portable across AWS Bedrock, Google ADK, LangChain, CrewAI, AutoGen, and OpenAI Agents SDK. Solves cross-platform agent identity fragmentation.

  identityfederationportabilitycross-platformcontrol-plane

• Multi-Agent Consensus Broker

  Coordinate N agents voting on an output with majority/unanimous/weighted/supermajority quorum modes. Issues a signed certificate when consensus is reached. Fills the missing A2A v1.0 consensus primitive.

  consensusvotingcoordinationmulti-agentcertification

• Hierarchical Quota Ledger

  Define a token/call budget tree for an orchestrator and sub-agents. Enforces parent-pool limits with per-child soft caps and idempotency-key retry deduplication to prevent storm-driven budget exhaustion.

  quotarate-limitingbudgetorchestrationgovernance

• Output Certification Notary

  Issue a signed certificate proving an agent output passed a quality rubric before delivery. Built-in rubrics: contract-completeness-v2, safety-review-v1, hallucination-bound-v1. Verifiable offline.

  certificationqualitynotaryattestationoutput

• Agent Rollback Coordinator

  Saga-as-a-Service for multi-step agent workflows — register compensating actions per step, checkpoint completions, and trigger reverse rollback on failure. Fills the standardized compensation gap.

  rollbacksagacompensationtransactionsfault-tolerance

• Cross-Tenant Memory Fence

  Cryptographic namespace boundary preventing cross-tenant memory bleed in warm-pooled agents. HMAC-derived per-tenant keys rotate each epoch. Audit trail for memory access patterns. GDPR/HIPAA audit-ready.

  memoryisolationmulti-tenantprivacysecurity

Integration

import asyncio
from a2a_registry import AsyncRegistry

async def main():
    async with AsyncRegistry() as registry:
        agent = await registry.get_by_id("6be2f3c0-cd06-4bff-bbd8-7dcbc8b59508")
        client = await agent.async_connect()
        print(f"Connected to {agent.name}")

asyncio.run(main())