In agentic commerce protocols like AP2 and ACP, while secure agent-initiated transaction mechanisms are defined, they lack interoperable, tamper-evident auditability and verifiable temporal ordering across heterogeneous domains. This paper addresses these gaps by proposing a verifiable global event timeline for agentic commerce, constructed from four core components:
- Canonical event schemas: Enforcing deterministic serialization.
- Deterministic batch formation: Ensuring reproducible ordering without relying on synchronized clocks.
- Merkle-based append-only commitments: Providing logarithmic-cost inclusion proofs.
- Blockchain anchoring: Establishing a tamper-evident temporal backbone.
Building on this infrastructure, we introduce a cryptographically signed fraud marker that binds risk labels to anchored evidence through an unforgeable provenance chain, and a dataset lineage model enabling reproducible, tamper-evident AI training pipelines. Empirical results from a prototype implementation demonstrate:
- Merkle tree construction processes 50,000 events in 47 milliseconds;
- End-to-end verification completes in under 0.013 milliseconds regardless of batch size;
- Inclusion proof sizes grow logarithmically from 320 bytes at 1,000 events to 512 bytes at 50,000 events;
- Merkle-based verification outperforms linear scan by 14.4x at 50,000 events.
Blogger's Review: The proposed verifiable timeline and fraud markers hold significant implications for enhancing transparency and security in autonomous commerce. Coupled with blockchain technology, they provide a reliable foundation for future AI training pipelines, showcasing extensive application potential.