As blockchain networks evolve into financial infrastructure, access to reliable, normalized onchain data becomes essential. For ecosystems targeting institutional adoption, the ability to measure activity, track capital flows, and identify key participants is critical to operating and competing at scale. Aptos, a production-grade Layer 1 built for performance and
Large language models are not inherently ill-suited for onchain use cases — in fact, there are many crypto products out there that have been majority built with LLMs. However, problems start to emerge when LLMs are only given access to work with onchain data at the blockchain level. Rather than
The stablecoin market is no longer a companion to the crypto market, it’s a major player moving significant amounts of money. According to Allium’s recent stablecoin report, total circulating supply of the stablecoin market reached $266.3 billion as of February 2026. That’s more than the GDP
Crypto builders rarely set out to learn accounting mechanics. But as soon as you try to ship analytics, financial reporting, risk monitoring, or compliance tooling, you run into a familiar problem: data that doesn’t reconcile. Balances don’t match transaction histories, aggregates drift over time, reorgs silently corrupt mechanics.
ERC-8004 gives autonomous AI agents a shared trust layer on Ethereum through identity, reputation, and validation registries. Here is how it works and who is building on it.
x402 is an HTTP-native payment protocol that lets AI agents pay per request with stablecoins, no accounts or human approval needed. Here is how it works and what it is used for.
Originally published by the Asian Financial Cooperation Association (AFCA Working Paper No. 2025-15/206), by Dr. Jochen Biedermann, Managing Director of the World Alliance of International Financial Centers (WAIFC). This working paper argues that stablecoins are a foundational component of the digital financial landscape rather than a passing fad,
As it becomes increasingly possible to use AI agents to create actual, working products, teams building for the crypto industry must find the right tools to give their agents enough reliable data. Because even though LLMs are incredibly advanced, they’re not actually able to parse and use raw blockchain
Crypto applications run on blockchain technology, but they are really built on data. Every wallet balance, trade, liquidation, NFT mint and protocol interaction ultimately depends on how the raw blockchain execution is captured and interpreted. We call that system crypto data infrastructure. Crypto data infrastructure is the system that transforms
A practical guide to onchain data reconciliation for accounting, covering data sources, reconciliation tasks, system architecture, audit readiness and build vs buy decisions.
Crypto transaction monitoring is the continuous analysis of onchain activity to detect risk, fraud and possible compliance issues — and it operationally differs from traditional financial transaction monitoring. Blockchains are public, immutable ledgers that allow you to see every transaction, but there’s a big difference between seeing how pseudonymous transactions
A practical guide to blockchain data APIs: what they are, how they work, and how to query transaction history, token balances, and ownership across many chains reliably at scale.