Aptos Indexer Architect

GraphQL indexers for Aptos use the Indexer SDK with custom processors to index accounts, transactions, tokens, and events. You configure processors to parse data streams, map them to PostgreSQL schemas, and expose results via GraphQL endpoints with built-in pagination and caching for performance.

Yes, GraphQL indexing for Aptos supports querying NFTs, fungible assets, and account transactions. Custom processors extract and structure token and event data into queryable schemas, enabling filtered lookups by account, asset type, or transaction activity.

Real-time Aptos transaction streaming uses GRPC via the Transaction Stream Service to feed events into custom processors. Processors transform the stream into indexed data models stored in PostgreSQL, then served through GraphQL endpoints for live account and event monitoring.

Yes, PostgreSQL-backed data models are a core requirement for Aptos GraphQL indexing. The Indexer SDK uses PostgreSQL to store processed transactions, tokens, and events, enabling scalable querying and analytics with pagination and caching.

Optimize Aptos indexing through custom processor design, pagination strategies, and caching patterns. PostgreSQL schema design, GRPC event batching, and GraphQL query optimization collectively reduce latency and support high-throughput analytics workloads.

Yes, the Indexer SDK supports custom processors that parse and filter Aptos events from transaction streams. Processors extract event data, normalize it into data models, and index it for GraphQL queries on account activity and on-chain state changes.