Subql

Subql is a blockchain data indexing framework and TypeScript-based indexer used to extract raw blockchain events and transactions and transform them into structured, queryable data entities. It functions as a data API and a tool for building decentralized application backends, providing a query interface for type-safe access to indexed blockchain data.

The project includes an AI-powered query engine that utilizes large language models to translate natural language questions into structured GraphQL queries. This system can orchestrate multi-step queries by breaking down complex requests into sequential data fetches and generating human-readable summaries of the resulting datasets.

The framework covers a broad range of capabilities including blockchain event monitoring, relational entity indexing, and the generation of type-safe classes and interfaces from defined schemas. It supports the deployment of self-hosted indexing nodes via container orchestration for local development and production hosting.

Features

Blockchain Indexers - Tracks and indexes blockchain events and state changes by transforming raw input into structured records.

Blockchain Indexing Frameworks - Offers a high-performance framework for ingesting, structuring, and querying blockchain events and transactions.

AI Data Query Interfaces - Translates natural language questions into structured GraphQL queries to retrieve indexed blockchain data.

Data Action Triggers - Defines network events or block headers that trigger specific functions to process and transform incoming data.

Blockchain Entity Mappers - Transforms raw blockchain blocks and events into optimized entities using custom handler functions.

Data Schemas - Provides definitions and structures that dictate the format and organization of indexed blockchain data.

Blockchain Data Transformers - Converts raw blockchain data into optimized database entities through custom mapping functions.

Blockchain Event - Converts raw blockchain events and logs into optimized entities using sequential custom mapping logic.

Decentralized Application Backends - Provides the data layer for web3 products by managing indexing nodes and hosting processed chain data.

Entity Relationships - Transforms raw blockchain events into structured entities and relational associations stored in a queryable database.

Event-Driven Function Mapping - Executes custom handler logic automatically in response to specific blockchain block headers or transaction filters.

Relational Data Modeling - Implements techniques for organizing blockchain data into structured entities with defined relationships.

Structured Data Schemas - Allows the specification of structures and relationships for indexed information to organize the final output.

Schema-Driven Code Generators - Automatically generates type-safe TypeScript classes and interfaces from defined entity schemas.

Type-Safe Code Generators - Generates type-safe TypeScript code for data entities from abstract schema definitions to ensure consistency.

Unified GraphQL Querying - Exposes indexed blockchain data through a unified GraphQL endpoint for complex lookups and filtered requests.

Blockchain Event Monitors - Tracks on-chain activity using custom triggers and mapping functions to respond to network events in real time.

GraphQL APIs - Exposes indexed blockchain data through a flexible GraphQL API for complex lookups and filtering.

GraphQL Schema Definitions - Maps internal blockchain data models to a typed GraphQL schema for external querying.

Data-to-Natural-Language Summarization - Distills key insights and metrics from large indexed datasets into concise, human-readable natural language summaries.

Natural Language Querying Interfaces - Provides a natural language interface that translates English questions into structured GraphQL queries for data retrieval.

Multi-Step Query Orchestrators - Breaks complex natural language requests into sequential data fetches and merges results from multiple sources into one response.

Natural Language to GraphQL Translators - Uses large language models to translate natural language questions into structured GraphQL queries by analyzing the data schema.

Data Querying Interfaces - Offers an interactive query interface and playground to retrieve structured information from indexed entities.

Historical - Tracks the progress of indexed blocks to facilitate the efficient reindexing of partial data subsets.

Index Reindexing - Allows for the restoration of specific subsets of indexed data by moving data between indices.

Natural Language Querying - Translates natural language prompts into executable GraphQL queries for indexed blockchain data.

Real-Time Data Aggregators - Provides capabilities for selecting, filtering, and aggregating processed blockchain data in real-time.

Self-Hosted Data Nodes - Deploys independent indexing node instances for local data processing and querying.

Local Filesystem Indexers - Deploys the indexing node and database via containers to build local searchable catalogs of chain data.

Local Containerized Orchestration - Uses container orchestration to launch indexing nodes and databases for local development and testing.

Container Orchestration & Deployment - Provides container orchestration for deploying the indexing engine and database in isolated environments.

Local Blockchain Node Hosting - Hosts a local indexing node as a standalone process to simulate blockchain data environments.

Self-Hosted Infrastructure - Supports running indexing projects on self-managed infrastructure or decentralized networks.

Contract Type Generators - Generates TypeScript type definitions from blockchain contract interfaces to ensure type safety during data processing.

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Features

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