Index any chain.
Own every record.
The indexing engine behind wallets, exchanges and custodians. Every chain, decoded and loaded straight into your own Postgres, ClickHouse or MySQL, live and in order.
Postgres
rows 2,914,550,318
ClickHouse
rows 41,208,331,907
Kafka
delivered 9,184,027,744
Wallets, exchanges and custodians run on Moralis data
One universal source of truth.
Most stacks keep three copies of chain data: a stream for live events, a database for queries, a backfill job for history. They drift. Data Feeds keeps one ordered record of every chain, mapped into one universal schema, and serves streaming, queries and replay from the same record.
EVM chains
Solana
Bitcoin
Stellar
Hyperliquid
Universal record
one schema · one global order · one hash chain
position 9,184,027,744
Real-time, reorg-safe streams, the moment a block lands.
Blocks arrive within a second of landing, validated against their parent hash before they become readable, decoded server-side into 19 topic types, and appended to one globally ordered stream per topic. When the chain reorganises, you receive a retraction and a replacement, never a silent edit.
How ordering works →Decoded rows, in your own database.
Continuum Sink loads decoded rows straight into your own Postgres, ClickHouse or MySQL, filtered to the contracts, wallets and block ranges you choose, in one schema across every chain. Query them with the SQL you already write. Prefer to consume the stream yourself? Read it from Kafka, or look up rows from your feeds over REST.
Schema reference →Full history on day one, without re-indexing a single block.
Point a consumer at any position in history and it receives every event from there, in the original order, in today's schema. A new product backfills from genesis the same way it reads the head. Add a derived topic later and replay it over years in minutes.
Backfill guide →40+ chains out of the box. Any other from your RPC.
Every major EVM chain, plus Solana, Bitcoin, Stellar and Hyperliquid, from one engine. For anything else, give Data Feeds an RPC endpoint and it indexes it like any other. A new chain is a config change, not a project.
EVM
every major L1 and L2
Solana
SVM, account model
Bitcoin
UTXO
Stellar
ledgers and operations
Hyperliquid
L1 and HyperEVM
+
Your RPC
any other network
feeds chains add --name my-rollup --family evm --rpc https://rpc.my-rollup.xyz
Every chain kept in full. Every event in one schema.
Data Feeds records each chain's native block exactly as the chain produced it, then maps every event into one universal schema of 19 topics. Hover a universal field to see where it came from.
Chain-specific fields stay available in the native record. The universal record carries the same field names and types on EVM, Solana, Bitcoin, Stellar and Hyperliquid, so one code path handles every chain.
19 feeds. Subscribe to the ones you need.
Every topic is its own ordered stream on every chain. Subscribe to a topic, filter by contract or wallet, and load it straight into your database. Click to build a subscription.
Chain data, straight into your database.
Most teams run six systems to get chain data into their product. Data Feeds replaces the indexing half and loads straight into the database you already run.
Node ops
Postgres
Redis cache
Airflow ETL
Kafka
Prometheus
Grafana
On-call
Kafka
Postgres
ClickHouseMySQLYour
SQL and dashboards
docker run moralisweb3/continuum-sink
For teams that can't afford to be wrong.
Data Feeds is the engine for products where chain data is the product: it has to be complete, in order, and defensible when someone asks how a number was produced.
Engineering teams that need an engine
You were about to build an indexer: nodes, decoders, reorg handling, backfill jobs. Take the engine instead, keep your schema and your stack, and add chains by config.
Wallets & exchanges
Balances, history and prices for millions of users across every chain they hold, with pre and post balances on every transfer so a portfolio is a sum, not a reconstruction.
Banks & fintechs
Stablecoin settlement, tokenised assets and on-chain payments need a ledger-grade record: ordered, corrected in the open, and provable to an auditor or a regulator.
Institutions & custodians
Custody, treasury, market-making and compliance teams that run their own infrastructure and need the data delivered into it, not an API to poll.
Running your own indexer costs more than you think.
Nodes, decoders, reorg handling, backfills, a team to keep it running, and a rebuild every time you add a chain. We priced it line by line.
Teams that moved to Moralis.
"Compared to building in-house, we avoided around $4,000 a month per chain. Game devs benefit from better tools, and users get a smoother cross-chain experience on Ronin Wallet."
Ronin Wallet · Sky Mavis"Moralis simplifies the integration process for new chains and networks, allowing us to rapidly add support for new chains to our wallet."
Jakub Hruby · Blockchain.com"We saved a lot of time. We cut development time by 75% using Moralis. We didn't have to worry about querying the blockchain at all."
Nathan Criel · Delta AppOne plan. Pay for the data you use.
$10 a month with 10 GB of data included, then $1 per GB, live or history. Talk to us when you need a large volume at a lower rate, dedicated throughput or an SLA.
- Every supported chain
- All 19 topic types
- Full history
- Into Postgres, ClickHouse or MySQL with Continuum Sink
- Or consume over Kafka or REST
- Large data volumes at a lower rate
- Committed-use pricing
- Dedicated throughput
- SLA and direct engineering access
SOC 2 Type II.
How Data Feeds compares.
The Graph, Goldsky, Envio, SQD and Ponder work at the application layer, and each is good at something. Data Feeds is the storage and streaming layer underneath, with one schema across chains and your data in your own stack.
| Indexer | Best at | Where your data lives | Reorgs | Schema change | Chains | Envio benchmark events / s |
Migrate |
|---|---|---|---|---|---|---|---|
|
Data Feeds
|
Ordered, multi-chain data inside your own stack | Your own stack: Postgres, ClickHouse or MySQL via Continuum Sink, or Kafka | Atomic, at the storage layer | Add a derived topic, replay from history | EVM, Solana, Bitcoin, Stellar, Hyperliquid, your RPC | 106,662 | – |
The Graph
|
Largest subgraph ecosystem, decentralised indexing | Postgres behind their query layer | Handler concern | Full reindex | Multi-chain | – | Migration guide → |
Goldsky
|
Managed subgraph hosting with little DevOps | Goldsky infrastructure | Eventual consistency | Re-run the pipeline | Multi-chain | – | Migration guide → |
Envio
|
Fast EVM backfill, TypeScript handlers | Your database | Handler logic | Full reindex from RPC | EVM | 9,984 | Migration guide → |
SQD
|
Portal queries and squid processors | Your database | Handler logic | Re-run processors | Multi-chain | 1,627 | Migration guide → |
Ponder
|
Developer experience for small and mid EVM projects | Postgres | Handler logic | Full reindex from RPC | EVM | 44 | Migration guide → |
Benchmark: Envio's open indexer benchmark, Rocket Pool ERC-20 transfers on Ethereum mainnet from block 18,600,000. SubQuery measured 22 events/s. Read the full comparison →
Already indexing somewhere else? Bring it with you.
Point the migration tool at your existing project. It reads your config, generates the equivalent Data Feeds subscription, hands the parts that need a handler to the agent in your editor, and then replays the same block range to prove the result matches what you had.
Custom indexer, raw RPC or an in-house pipeline? Talk to engineering and we'll map it with you.
npx feeds-migrate ./my-subgraph
→ detected The Graph subgraph · 3 contracts · 11 events
→ 92% of events map to topics · 1 handler to port
→ generated feeds.subscription.yaml
→ verify: replayed 120,000 blocks · 0 mismatches
What do you want to build with Data Feeds?
