Guides
💡What is MCP? Model Context Protocol (MCP) is an open standard that allows AI systems to directly interact with external tools (and blockchain data) through structured workflows. Key takeaways: * Institutions still depend on manual workflows and siloed teams to navigate blockchain analysis * MCP brings conversational language into blockchain data analytics
Guides
Key takeaways: * Blockchain data analytics used to require highly-specialized knowledge to navigate * MCP now changes complex data retrieval into natural conversation * SQL isn’t replaced by MCP, but MCP gives AI agents the ability to use SQL, APIs and other tools * MCP lowers the barrier to entry for all
Guides
Key takeaways: * Financial institutions can’t use natural language prompts alone to get reliable outputs * Prompts are not reproducible or auditable on their own * MCP acts as the “USB-C” for AI * Institutions need to use MCP with a structured data layer to get trusted outputs 💡What is MCP (Model
Guides
The CLARITY Act is closer than ever to passing into law. Just last week, the bill made it out of the Senate Banking Committee, a year after it was first introduced last May. Even with bipartisan discord, (and plenty of reservations still regarding the bill’s regulation of stablecoin yield
Guides
Dune is retiring the SIM API on August 1, 2026. If your app uses SIM for wallet balances, transaction history, or DeFi positions, you need a replacement before that date. Allium's Real-time API covers the same endpoints. 23 chains. Full data lineage on every response. Here'
Guides
Key takeaways: * Compliance systems flag risk, but they rarely explain it * Passing a compliance check doesn’t mean understanding counterparty behavior * Intelligence systems turn activity into explainable patterns and decisions * Both layers depend entirely on the quality of the underlying data 💡What’s the difference between crypto compliance and crypto
Guides
Key takeaways: * Blockchain data needs a system with multiple layers to be compliant * Most companies are missing that data foundation unifying interpretation * Data without standardized interpretation can cause huge differences in a compliance stack * AI systems need normalized, standardized data to function without human interference * Crypto compliance data stacks now
Guides
Key takeaways: * APIs are simple and fast, but limited to predefined queries * SQL enables flexible, composable queries that align with how AI systems operate * Blockchain data is difficult to serve via APIs without heavy normalization and standardization across chains and protocols * Most meaningful blockchain metrics (balances, positions, flows) must be
Guides
Key takeaways: * More crypto analytics and investigations are being assisted by AI * AI systems can use MCP to turn prompts into defined operations * AI can still hallucinate with MCP, risks are still involved * The quality of the data layer will determine the quality of the crypto investigation or analysis 💡What
Guides
Key takeaways * Blockchains don’t provide data in the right format to easily build crypto wallets * Many blockchain data platforms have siloed data tools, complicating the wallet building process * PnL is the most difficult problem to solve when building a crypto wallet * Allium provides one platform that simplifies the wallet
Guides
Key takeaways: * Crypto wallets used to only need to send, receive, and show balances * The crypto industry’s growth means that users require more from their wallets — like portfolio views, trading capabilities, staking, strategic AI assistance * Traditional wallet infrastructure wasn’t built to support this level of execution * Allium’s
Guides
Key Takeaways: * Blockchains store data, but aren’t built for querying * Indexing turns raw data into structured, usable datasets * Without indexing, analytics doesn’t scale * Modern stacks separate ingestion, indexing, and querying * Batch = historical accuracy, streaming = real-time data * AI systems rely on indexed, model-ready data Blockchain indexing is