Blockchain Data forEducational Institutions & Universities
Develop projects, conduct research, and explore the cryptocurrency ecosystem by leveraging blockchain data

Develop projects, conduct research, and explore the cryptocurrency ecosystem by leveraging blockchain data


Uncover complex money trails between blockchain addresses using Coinpath's advanced mathematical algorithms, providing unparalleled insights into financial transactions.
Access comprehensive data on NFT collections, metadata, floor prices, ownership, holders, marketplace trades, transfers, and transactions with our versatile NFT API.
Uncover all token holders, including NFTs, and access advanced wealth distribution metrics like Gini coefficient and Nakamoto index. Elevate your token analytics with our TokenHolders API.
Access live mempool insights seamlessly with our API, providing real-time data for Ethereum, BSC, Arbitrum, and other blockchains.
Unlock real-time insights into deposits, transactions, trades, OHLC, and more for various DEX protocols including Uniswap, Kyber Network, Sushiswap, Jupiter and more with our comprehensive API.
Experience real-time and historical blockchain data seamlessly with our GraphQL subscriptions via WebSockets, providing dynamic access to all supported blockchains.
Bitquery's blockchain data APIs are used by university research labs, finance and computer science departments, and individual researchers to study DeFi, market microstructure, on-chain economics, MEV, NFT markets, and more. Our GraphQL API gives you ad-hoc query access without needing to run nodes or build indexers.
Bitquery offers a free developer tier suitable for most coursework and small research projects. For larger research datasets, longer historical ranges, or PhD theses, contact our team via the form above — we offer academic discounts on a case-by-case basis for credentialed researchers and accredited universities.
Yes. Bitquery supports CSV exports, S3 dumps, BigQuery and Snowflake datashares, and Parquet files for large-scale research datasets. You can pull years of historical DEX trades, transfers, balances, or NFT events across 40+ chains in a single query.
Any language that speaks HTTP and GraphQL: Python (popular with researchers — pandas, NumPy integration is straightforward), R, Julia, JavaScript/TypeScript, Go, Rust, etc. We also have official examples for Jupyter notebooks, Streamlit, and Observable.
Yes. Researchers use Bitquery to build labeled datasets for fraud detection, MEV classification, wallet clustering, price prediction, and bot detection. Our cluster labels and entity attribution provide ground truth for supervised learning. Contact us for bulk dataset access for ML training.
Cite as: "Bitquery, Inc. Blockchain data APIs and indexed datasets, accessed via https://bitquery.io." Include the date range, chains, and query method (GraphQL/Kafka/datashare). Reach out for a formal data-source citation guide if your publication requires specific format.
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TelegramA flaw in Zcash's Orchard circuit could have minted counterfeit ZEC invisibly since May 2022. The forgery itself is private by design, but cashing out is not. We pulled the full chain history and checked the turnstiles to find out whether anyone actually exploited it.
Solana is the highest-throughput chain on our platform, 30 times larger than any other we serve, and we deliver it at the lowest p50 latency we hit on any production chain. The engineering problem the Pump.fun ecosystem created, the numbers from last week, and the four delivery channels that solve it.
Why Stellar custodians, anchors, and payment products use Bitquery as the upstream for their deposit-detection pipelines. The Stellar transfer schema, what each record carries, the API patterns the data supports, and how delivery works at enterprise scale through cloud data dumps to S3, Snowflake, or Google Cloud.