Moralis transforms raw blockchain data into structured, enriched, and trustworthy insights that are easy to build on. Instead of dealing with low-level transactions, logs, and metadata inconsistencies, you get interpreted data - with context, labels, scores, and normalization applied consistently across chains and APIs. These features fall into four broad areas:Documentation Index
Fetch the complete documentation index at: https://docs.moralis.com/llms.txt
Use this file to discover all available pages before exploring further.
Data Enrichment
Logic and normalization that add meaning and context to onchain data.
Safety & Trust
Signals that help identify legitimate assets and reduce exposure to scams.
Search & Discovery
Tools that help users find relevant tokens and assets across chains.
Prices
Understand how Moralis decodes and normalizes token and NFT prices.
Integrations
Clear visibility into what Moralis supports across chains and protocols.