The problem BaseIndexer solves
BaseIndexer revolutionizes blockchain data access by enabling users to index blockchain data simply by typing natural language commands, without writing complex queries. It instantly processes your input and auto-generates API endpoints that both frontend and backend applications can consume—making blockchain data integration effortless and fast.
BaseIndexer is an AI-driven platform that empowers developers, analysts, and businesses to index and structure blockchain data on demand. Users describe what they want indexed—whether it’s activity for specific addresses or particular data fields—and BaseIndexer automatically creates tailored REST APIs to expose this data for seamless integration.
Key Features:
- Natural Language Indexing – Just type your query in plain English; no technical query language is required.
- Custom Field Targeting– Focus indexing on specific blockchain data fields, such as addresses, transactions, tokens, timestamps, and more.
- Auto-Generated APIs – Instantly receive REST API endpoints built for your indexed data, ready to power any frontend or backend system.
- Real-Time Sync – Keep data current with continuous updates from the blockchain.
- User-Friendly – Accessible to both technical and non-technical users for fast blockchain data access.
BaseIndexer bridges the gap between natural language and blockchain complexity—making blockchain data accessible, actionable, and developer-ready in seconds.
Challenges I ran into
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NLP Query Interpretation: Translating diverse natural language inputs into accurate blockchain queries was tough due to ambiguous user phrasing. I fine-tuned a lightweight NLP model with blockchain-specific queries and added a clarification prompt to handle vague inputs.
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Real-Time Data Sync: Indexing large blockchain data in real time caused performance lags. I optimized the pipeline with Web3.js, used Redis for caching, and implemented incremental indexing to process only new blocks, ensuring fast updates.
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Dynamic API Generation: Auto-generating scalable REST APIs for varied queries risked server overload. I adopted a microservices setup with Docker for scalability and added rate-limiting for secure, stable performance.
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Non-Technical User Accessibility: Non-technical users found blockchain queries intimidating. I built a guided query builder with examples and a simple dashboard to visualize data, making the platform user-friendly.
These hurdles refined BaseIndexer’s performance and accessibility, ensuring it delivers fast, actionable blockchain data.
Tracks Applied (1)
AI
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