Engineering
Technical posts from the Token Terminal engineering team
How we apply dimensional modeling to onchain data
A run-through of Kimball's dimensional modeling applied to Sky's raw smart contract events.
Why onchain data needs an entity taxonomy for proper metric standardization
How we built an entity taxonomy and metric standardization to make every onchain metric Token Terminal publishes comparable.
How we cover the entire tokenized asset market
A three-stage pipeline that produces standardized metrics for 3,000+ tokenized assets, sitting on top of the full onchain data stack we operate in-house.
The knowledge base behind our agents
How we built a knowledge base that agents read before generating code
Why we built our in-house onchain price feed
We price 300,000+ tokens from raw onchain data. Our price feed is the backbone of every dollar-denominated metric institutions use.
How we maintain data correctness at institutional scale
We built an agent that investigates every data report autonomously, allowing us to maintain data correctness across 100+ blockchains, 1,200+ protocols, and 3,000+ tokenized assets.
Programming the onchain gigafactory
How we turned our business processes into code we can measure and improve
The brain behind Token Terminal's MCP server
How a reasoning layer makes 2 petabytes of onchain data accessible through one question
Decoding Uniswap V4’s bit-packed swap data at scale
Earlier this year, Uniswap V4 introduced one of its most powerful features yet: hooks.