Blockchain data engineering and on-chain analytics.

Public datasets are a reasonable starting point for common chains and standard token transfers. They tend to fall short on newer or smaller networks, on contracts whose events are not standard, and on the business layer: your token registry, your categorisation rules, your reporting currency and your reconciliation against internal records. We use public datasets where they fit and build ingestion where they do not.

Several ways, in order of preference: a verified ABI from the explorer, a standard interface the contract conforms to, an ABI supplied by whoever deployed it, or reconstruction from method signatures and observed event topics. Whichever route is used, the decoding rules are recorded per contract and the raw input data is retained, so decoding can be corrected and replayed without re-ingesting the chain.

That is what the override layer is for. Base tables hold what the chain reported and are never edited. Corrections, whitelists and manual classifications live in separate tables with an author, a timestamp and a reason, and are applied when the reporting view is built. Both the original and the adjusted figure stay available, which is usually what an auditor asks to see.

Carefully, and visibly. The valuation method is a documented rule per token: reference price at block timestamp, a defined source hierarchy, a fallback, or explicitly no valuation at all. Unvalued volume is reported rather than hidden. It is better for a finance team to see that a share of activity has no reliable price than to receive a confident number built on a thin market.

Yes. On-chain data is just another source: it lands in the same layered warehouse, under the same validation and modelling standards, and is read by Power BI, Looker Studio, Tableau or a Streamlit tool alongside everything else. Teams usually want it joined to off-chain records — customers, internal accounts, fiat movements — and that join is where most of the analytical value appears.

We quote after a scoping call, once the networks, contracts and wallets in scope, the reporting currency and period, and the figures the output has to reconcile against are agreed. A useful first project is a single chain and one business question built the whole way through, from ingestion and decoding to a reconciled output. MV.tech is a remote-first team based in Ahmedabad, India, with working hours planned around your timezone and a lean model that avoids large-consultancy overhead.

We build a reward ledger per validator, delegator or wallet and reconcile it against on-chain distributions and internal records, with period totals, accrual timing and a discrepancy report. Base tables hold exactly what the chain reported and are never edited; corrections live in a separate override layer with an author, a timestamp and a reason, so both the original and adjusted figures stay available.