This is what audit-grade data lineage looks like for blockchain. The screenshot below shows Amp's lineage view. Every dataset in Amp traces back to its onchain source through a visual graph of upstream dependencies and transformations. When someone queries a dataset, they can see exactly where the data came from and how it was derived before they consume a single row. Most blockchain data infrastructure treats provenance as an afterthought. You get a table of results and have to trust that whoever built the pipeline did it correctly. If a regulator asks you to prove that your data matches the canonical chain state, you are stuck reverse-engineering a pipeline that was never designed to answer that question. Amp was built to answer it from the start. Every dataset preserves cryptographic provenance so compliance teams can independently verify that the data they are looking at traces to the actual blocks on the actual chain. This is not a metadata label or a tooltip. It is a verifiable property of the data itself. This matters because regulated institutions operating in digital assets need to prove their data is accurate under frameworks like the GENIUS Act, SAR filing requirements, and evolving AML obligations. If your data infrastructure cannot produce an audit trail from query result to onchain source, you are building on a foundation that will not survive regulatory scrutiny. Amp transforms raw blockchain activity into structured, queryable datasets accessible through SQL, REST, and GraphQL. It supports multiple chains through a single API, deploys on-prem or in your cloud environment for full data sovereignty, and integrates with existing custody platforms, screening tools, and treasury systems. In benchmark tests, Amp delivered 100x better data freshness and over 4,300x faster backfill performance compared to traditional blockchain data infrastructure. The question regulators always end up asking is the same: can you prove it? Most data infrastructure cannot answer that. Amp can.