How Data Feeds Works

​

Overview

Moralis Data Feeds handles the complexity of blockchain data indexing so you can focus on building. It reads Moralis-indexed, normalized per-block onchain data and continuously projects it into your own database. The workflow is straightforward:

​

1. Define

Start from a recipe or define a custom schema:

• Recipes – ready-made blueprints that reconstruct popular Moralis endpoints (wallet history, balances, prices, swaps, holders, raw logs). The fastest on-ramp. Browse recipes →
• Custom – specify exactly which chains, contracts, events, and data types to index, with your own schema
• Chains – EVM, Bitcoin, Solana, Stellar, Hyperliquid, or a custom chain via your own RPC
• Data types – raw data, decoded data, or both

​

2. Configure

Set up your schema and transformation rules:

• Define your data models and field mappings (or adapt a recipe’s)
• Configure transformations and enrichments (e.g. inline USD valuation)
• Set up filters to capture only the data you need
• Choose your mode: historical backfill, realtime tail, or hybrid (both)

​

3. Deploy

Moralis deploys and manages the indexing infrastructure:

• No infrastructure to provision or maintain
• Automatic scaling based on data volume
• Built-in redundancy and fault tolerance
• Continuous monitoring and alerting

​

4. Deliver

Data lands directly in your own database:

• Real-time delivery as events occur on-chain
• Historical backfills delivered in parallel
• Reorg-safe: corrections converge your tables on canonical state automatically
• Data arrives in your schema, ready to query

​

Delivery destinations

Data Feeds syncs into the database you run, indexed for your access pattern.

​

Architecture benefits

​

Get started

Data Feeds is onboarding enterprise teams now. Work directly with Moralis engineering on your specific requirements.