{"services":[{"slug":"a2a-guard","description":"One namespace for every principal in the loop -- agents, humans, and services.","starter":false,"domain":"Identity","tier":"fabric"},{"slug":"action-firewall","description":"Formal proof that a planned action sequence cannot violate the tenant's constraints -- before it runs.","starter":false,"domain":"ActionProof","tier":"fabric"},{"slug":"actionproof","description":"Formal proof that a planned action sequence cannot violate the tenant's constraints -- before it runs.","starter":false,"domain":"ActionProof","tier":"fabric"},{"slug":"adversarial-fuzzer","description":"Real generational prompt-mutation red-teaming against an HTTP model endpoint you supply. 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Identifies originating decision, policy conditions, and authority conditions that contributed to an observed outcome. Does NOT claim causal certainty from correlation alone -- explicitly labels correlation vs causation and discloses confidence levels.","starter":false,"domain":"Reasoning, planning & orchestration","tier":"workload"},{"slug":"causal-network","description":"Causal inference, search, physical/scene reasoning, and multi-step execution.","starter":false,"domain":"Reasoning, planning & orchestration","tier":"workload"},{"slug":"compliance-engine","description":"Automated compliance checks (EU AI Act, SOX, HIPAA).","starter":true,"domain":"Policy","tier":"fabric"},{"slug":"contamination-scanner","description":"How dangerous this input, output, agent, or fleet looks right now.","starter":false,"domain":"Risk","tier":"fabric"},{"slug":"content-provenance","description":"Signed AI-generated-content disclosure manifests for EU AI Act Article 50 transparency. Issues and verifies labels; does not claim to detect unlabeled AI-generated content -- that isn't a reliable capability.","starter":true,"domain":"Evidence","tier":"fabric"},{"slug":"context-health","description":"How dangerous this input, output, agent, or fleet looks right now.","starter":false,"domain":"Risk","tier":"fabric"},{"slug":"counterfactual-intelligence","description":"Deterministic what-if analysis for CAIN-governed decisions. Reconstructs observed causal chains from real evidence records, applies counterfactual interventions (decision change, action removal, identity change, policy version change), and computes predicted alternative outcomes with risk/impact deltas. Simulation-only: would_execute is always False. Evidence-based: requires original decision_id or evidence_id for chain reconstruction. 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No legal precedent database is connected -- precedent search honestly returns empty rather than inventing case law.","starter":true,"domain":"Policy","tier":"fabric"},{"slug":"lexisguardian","description":"Who decided, under what mandate, with what dissent recorded.","starter":false,"domain":"Governance","tier":"fabric"},{"slug":"mcts-engine","description":"Causal inference, search, physical/scene reasoning, and multi-step execution.","starter":false,"domain":"Reasoning, planning & orchestration","tier":"workload"},{"slug":"memory-integrity","description":"How dangerous this input, output, agent, or fleet looks right now.","starter":false,"domain":"Risk","tier":"fabric"},{"slug":"memorymesh","description":"Persistent memory, real retrieval, and a shared knowledge store.","starter":false,"domain":"Memory, retrieval & knowledge","tier":"workload"},{"slug":"metacognitive-enhancer","description":"How dangerous this input, output, agent, or fleet looks right 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plane.","starter":false,"domain":"Risk","tier":"fabric"},{"slug":"vericoding-gate","description":"Proof that an output, claim, or artifact is correct before anything trusts it.","starter":false,"domain":"Verification","tier":"fabric"},{"slug":"veritasengine","description":"Proof that an output, claim, or artifact is correct before anything trusts it.","starter":false,"domain":"Verification","tier":"fabric"},{"slug":"visual-ide","description":"Interactive visual development environment.","starter":false,"domain":"Build & ship code","tier":"workload"},{"slug":"weight-alchemist","description":"Real weighted-average merging of uploaded safetensors checkpoints -- linear interpolation over matching tensors, the same baseline method mergekit ships. No SLERP/TIES, no training; keys missing from any source or with mismatched shapes are excluded and reported, never guessed.","starter":false,"domain":"Model & ML infrastructure","tier":"workload"},{"slug":"zkproofvault","description":"A durable record of what was decided and what happened, retrievable after the fact.","starter":false,"domain":"Evidence","tier":"fabric"}]}