đź’ˇWhat Is Allium MCP? Allium MCP is a standardized interface that allows AI agents to interact with blockchain data. In practice, this means that builders can create applications that analyze wallets, monitor DeFi positions, track stablecoin flows, and anything else they require with blockchain data. Most teams don't
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 Context
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
How you pick a supply denominator moves a crypto valuation more than most other assumptions. Using HYPE as the worked example. For HYPE, the same business value we estimate at $25.8B, divided across six candidate supply numbers, produces price targets from $26 (FDV) to $105 (circulating only) per token.
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's
Key takeaways: * A stablecoin supply number without methodology context is meaningless. * Allium breaks it down into: total supply, issuer-reported supply, and adjusted supply * Payment providers, DeFi protocols, stablecoin issuers all need different supply numbers for their own unique reasons * Allium provides the flexibility to get the exact number you need
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
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
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
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 đź’ˇWhat
Key takeaways: * No crypto systems should rely on infrastructure that creates a single point of failure * But data accuracy matters just as much — blockchain data needs to be a system of record for projects to be fully protected * Verification didn’t fail in isolation. The issue was the state it
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