Access to full transaction data on all transactions & addresses
Broadcast and verify transactions with real-time monitoring
Retrieve blockchain data, balances, and transactions
Detailed blockchain history and transaction data for any address.
Full smart contracts metadata, including token symbols & token names
Dedicated nodes infrastructure for leading blockchains using JSON-RPC
Address validation, encoding & cryptographic tasks optimizations
Shared node infrastructure for top blockchains using JSON-RPC.
Real-time notifications for events on top blockchains. Response under 100ms.
AML address screening across 20+ blockchains
14 MCP servers + n8n MCP client for AI agents
Precise blockchain transaction fee estimates based on transaction priority
Sync and manage HD wallets, keys and addresses
Prepare EVM transactions, including token transfers
Access to full transaction data on all transactions & addresses
Get access to unified market data using REST APIs from top crypto exchanges.
Test EVM transactions, optimize gas fees and identify security flaws
The Graph's subgraph deprecation notices and escalating query costs have pushed dozens of engineering teams to evaluate alternatives in 2026. If your indexing pipeline is tightly coupled to a single protocol, you're one sunset away from a production incident. Here's how to migrate cleanly — and build something more resilient on a unified multi-chain data layer.
The migration pain is real: subgraphs require GraphQL schema maintenance, re-indexing windows that can span days on busy chains, and a cost model that punishes high-frequency queries at scale. Teams running analytics dashboards or transaction monitoring across 5+ chains report spending 30–40% of backend engineering cycles just keeping subgraph indexes healthy.
The root problem isn't GraphQL — it's the tight coupling between your data model and a single indexing layer that doesn't scale horizontally across chains. Every new chain means another subgraph, another schema, another set of re-indexing nightmares.
The migration pattern that works in practice is straightforward:
Crypto APIs covers 60+ chains — including EVM-compatible chains like Berachain's Polaris EVM — with unified endpoints for address transactions, token transfers, and block data. You're not rewriting schema per chain; you're querying a normalized data model across all of them. That alone eliminates the most time-consuming part of multi-chain subgraph maintenance.
Here's the direct mapping most teams use during migration:
Practical steps for the final switch:
Teams typically complete this migration in under two weeks for a single-chain setup. For a 10-chain setup, the unified API model means you're not multiplying that effort by 10 — you're doing it once. Monitor query latency during the parallel run; most teams see p99 latency drop significantly when moving off shared subgraph infrastructure to dedicated API endpoints.
Explore the full Crypto APIs technical documentation and start your multi-chain migration today. If you'd rather talk it through with our team first, get in touch with our team.