From Specification to Deployment: Empirical Evidence from a W3C VC + DID Trust Infrastructure for Autonomous Agents
Lars Kersten Kroehl

TL;DR
This paper presents MolTrust, a W3C-standardized trust infrastructure for autonomous agents, demonstrating its deployment and capabilities in real-world scenarios with empirical validation pending.
Contribution
It provides the first deployment-first evidence that a W3C-standardized trust infrastructure for autonomous agents is feasible and operational at scale.
Findings
Operational since March 2026 across eight credential verticals
Kernel-layer enforcement of authorization primitives demonstrated
Cross-protocol interoperability verified through reproducible test vectors
Abstract
Autonomous AI agents now transact at production scale -- 69,000 bots executing 165 million transactions across 50 million USDC in cumulative volume on a single marketplace -- without any shared trust layer between participants. Regulatory frameworks (Singapore IMDA, NIST CAISI, EU AI Act) and major AI laboratories (Anthropic, Google) have independently converged on the same structural requirement: an open, portable, cryptographically verifiable trust infrastructure for autonomous agents that no single vendor can deliver alone. This paper presents MolTrust, a production-deployed implementation of such an infrastructure built on W3C Verifiable Credentials 2.0 and Decentralized Identifiers v1.0, with on-chain anchoring on Base Layer 2. The system architecture is organized around four primitives (identity, authorization, behavioral record, portability), a five-party accountability chain,…
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