Birdeye is a popular on-chain crypto trading data aggregator in the web3 ecosystem that offers users real-time analytics and various insights from decentralized exchanges (DEXs) and automated market makers (AMMs) across various blockchains, including Solana, Sui, and Ethereum.
While it provides REST APIs and websockets APIs, developers are looking for alternatives with low-latency solutions with more customizability, among other reasons. In this blog, we will look at the top Birdeye alternatives.
Bitquery is a comprehensive blockchain data platform that provides developers, traders, and businesses with unified access to blockchain data across multiple networks through powerful APIs.
With Bitquery’s Crypto Price API , users get access to data such as OHLCV (K-Line), Simple Moving Averages (SMA), Weighted Moving Averages (WMA), mean prices, and other key price-related statistics. This can be accessed by users via the aggregated price for a single trading pair, the Price Index also has support for cross-chain and cross-DEX aggregation, giving users a unified view of token prices across multiple ecosystems.
The data provided by the Crypto price API/Stream has low latency across multiple trading pairs, tokens, decentralized exchanges (DEXs), and is provided in real-time.
Features of the Crypto price API include:
- Pre-aggregated metrics: The Crypto Price API provides users with ready-to-use OHLC Stream (Open, High, Low, Close, Volume) and average prices, which are calculated over volume- or time-based intervals—as granular as 1 second.
- Filtering Bad Trades: The Crypto Price API automatically filters out bad or low-quality trades, to provide users clean, reliable, and accurate price feed.
- Cross-chain efficiency: The Crypto Price API provides price data across all chains for a given token or token representation (e.g., WBTC on Ethereum, native BTC on Bitcoin, etc.).
Delivery Methods include;
- GraphQL Queries : Perfect for on-demand historical and current price data
- Kafka Streams : Designed for high-throughput, fault-tolerant trading systems
Difference between Bitquery and Birdeye
Real-time Updates & Latency
Bitquery: Offers true real-time streaming via GraphQL WebSockets and Kafka with ~400 ms latency, enriched with contextual data (OHLC, indicators). Even if you lose connection, past data can still be retrieved.
Birdeye: Provides REST API–based updates with ~3-second query times, limited by request-response cycles.
Data Points & Coverage
Bitquery: Fetches millions of tokens in one API call/stream with no data limits. Supports OHLCV, trades, liquidity, volumes, balances, portfolios, transfers, NFTs, and logs across chains.
Birdeye: Fixed REST endpoints with token stats (security info, memecoin creation), prices/ohlcv, trades (p/l), wallet portfolios, and trending lists.
Contextual Enrichment
Bitquery: Provides deep contextual enrichment (normalized USD prices, trading indicators, unified data model across chains).
Birdeye: Token metadata and security info, but lacks advanced enrichment and unification.
Real-time & Historical Data
Bitquery: Combines real-time streaming (WebSocket/Kafka) with customizable historical queries (GraphQL), bulk analytics, and full data dumps.
Birdeye: Near real-time (~3s) and historical OHLCV candlesticks/trades.
For a detailed breakdown of why Bitquery is a strong alternative to Birdeye in terms of data scale, latency, and enrichment, check out this article.
How Bitquery Provides Pump.Fun API
Bitquery also provides Pump.Fun data using its Pump.Fun API, which gives developers and traders access to real-time and historical data for Solana tokens launched on Pump.Fun.
Key Features
- Token Creation & Metadata: This allows users to track new tokens, get names, symbols, decimals, dev addresses, and creation time.
- Market Data & Pricing: This provides real-time token prices, OHLC charts, ATH stats, and price deltas.
- Trade activity & Volume: This provides live trade streams, total volume, buyer/seller stats, and first 100 buyers.
- Liquidity & Pairs:This provides users pool balances, trading pairs and bonding curves.
- Holders & Traders: This gives insights to developer holdings, top 10 holders, top traders, and active creators.
- Rankings & Filters: This allows users to find trending tokens, top by market cap, or tokens above certain thresholds.
How Bitquery Provides LetsBonk API
Bitquery also gives users access to LetsBonk data using its LetsBonk API which delivers detailed data on the Solana-based LetsBonk token ecosystem. This offers real-time + historical insight into token behaviour, liquidity, holders, trades, and market metrics.
Key Features
- Token Creation:Track new LetsBonk.Fun tokens as soon as they launch.
- Bonding Curve Progress: Monitor token bonding curve percentage with a built-in formula to gauge how close a token is to “graduating.”
- Graduation Tracking: Identify the top 100 tokens about to graduate from LetsBonk to Raydium.
- Migration Events:Track tokens migrating in real time to Raydium AMM/CPMM, Meteora, Boop.fun, and Moonshot.
- Trade Data: Fetch latest trades, top 100 buyers and sellers, or subscribe to live trade streams.
- Live Prices: Get the latest token price by mint address directly from Raydium Launchlab.
- OHLCV Data: Query historical candlestick data (open, high, low, close, volume) for tokens traded against WSOL.
- Liquidity & Pairs: Retrieve pair addresses and check liquidity balances (base vs. WSOL).
DEX Screener is a platform that provides real-time charts for tokens across various blockchains, including Ethereum, Binance Smart Chain, and Solana. It is used for monitoring token price movements and trading volumes.
All DEX Screener data comes directly from the blockchains it tracks, without the use of any external APIs or data sources. It has a custom-built indexer to parse, analyze and store raw blockchain logs, which is then used to create screeners, charts and analytics.
All data is processed automatically in realtime without any human moderation or intervention, which provides users enough data to do their own research before interacting with any tokens and smart contracts.
Key Features:
- Real-time price charts
- Multi-chain support
- Customizable chart indicators
Nansen is an AI-powered web3 analytics platform that provides users with real-time, labeled on-chain data, and portfolio tracking across multiple blockchains.
This data allow crypto investors to make informed decisions by discovering trends and also identifying smart money movements. It provides data by combining the power of AI with machine learning and data processing.
Key features include:
- Wallet Labeling: Nansen makes use of AI and machine learning to analyze and label wallets, identifying them into various categories such as “whales,” “smart money,” large funds, or profitable traders.
- Trend Discovery: Users can make use of Nansen to identify trends and also emerging opportunities by analyzing transaction patterns.
- Real-Time Dashboards & Alerts: Nansen provides users access to real-time dashboards that display labeled data that can be set up as “smart alerts” to get notifications about specific events.
- AI-Driven Insights: Nansen provides users AI generated reports that take deep dives into metrics such as token behavior analysis and market insights, which help users make informed decisions.
- Cross-Chain & Portfolio Analytics: Nansen also provides users with unified dashboards that track assets, DeFi positions, and NFTs across different blockchains.
CoinGecko is a leading web3 market data aggregator that tracks thousands of tokens, NFTs, and exchanges. It offers real-time data, in-depth market analysis, and tools for users and developers.
Key features include:
- Market Data: Coingecko provides users comprehensive and real-time data on cryptocurrencies, which includes prices, trading volumes, and market capitalization.
- Fundamental Analysis: This tracks token metrics, whitepaper, team, community growth, open-source code development, major events, and on-chain metrics.
- Portfolio Tracker: This feature allows users to create and manage multiple portfolios to track their holdings’ performance.
- Discovery Tools: With this feature, users can filter sections such as top gainers, losers, trending coins,new coins and assets across various categories and chains.
- Exchanges & NFTs: Coingecko also gives users access to data and rankings for centralized and decentralized exchanges, as well as NFT collections ranked by trading volume and floor price.
Moralis is a Web3 developer platform that offers users APIs for EVM-compatible chains and Solana.It also provides data for NFTs, tokens, and wallets.Moralis functions by indexing all core aspects of blockchain data and exposing this data through various API endpoints.
Key features include:
- NFT Data: Moralis retrieves real-time metadata, transfer data, and prices for NFTs. This makes it easy for developers to integrate NFT data into their applications.
- Token Data: Moralis provides users access to real-time data on token prices,which is important for building applications that require up-to-date token information.
- Transaction Data: It also retrieves detailed information about on-chain transactions which includes past transactions and monitoring ongoing on-chain activity.
- DeFi Data: This gives users access to data on liquidity reserves and pair data across multiple blockchains.
Although Birdeye is powerful, choosing the right alternative depends on your goals. Some of the platforms above focus on broad market coverage, while others focus on on-chain accuracy, and some on full developer toolkits. Choose the one that best aligns with your project’s needs for the best results.
