Produced in collaboration with Decipher, this research explores what it takes to build audit-ready onchain data for institutional use. It examines how Dune, Helius, Allium, and Nodit DataShare address key engineering challenges—including decoding coverage, data consistency, finality, and data lineage—to deliver trustworthy blockchain data infrastructure.

Table of Contents

1. Introduction

1.1 Why Trustworthy Blockchain Data Infrastructure Matters More Than Ever

1.2 How Traditional Financial Data and Blockchain Data Differ

1.3 What a Blockchain Data Platform Must Provide

2. The Difficulty of Building a Blockchain Data Platform

2.1 The Structure of a Blockchain Data Platform

2.2 Decoding

2.2.1 Solana Transaction Data

2.2.2 IDL

2.2.3 How Do You Find Out the IDL?

2.2.4 Decoding Coverage Is What Makes Data Infrastructure Competitive

2.3 Data Consistency

2.3.1 Why Data Consistency Breaks Down

2.3.2 What Collapses When Consistency Breaks, and What It Costs to Set It Right Again

2.3.3 Proving Nothing Is Missing: Completeness and Traceability

3. How Existing Products Approach This, and Nodit Datashare

3.1 How the Existing Product Families Have Solved This Problem

3.2 Nodit Datashare

3.2.1 Nodit Datashare's approach

3.3 Using Nodit Datashare

3.3.1 Primary use areas for Nodit Datashare

3.3.2 Nodit Datashare console walk through: extracting data to reconcile USDC deposits and withdrawals against the ledger

4. Closing