Amberdata Market Data API - Institutional Crypto Market Data

Product Overview

Amberdata Market Data API delivers comprehensive cryptocurrency market data for institutional trading, research, and analytics applications. The platform provides real-time and historical data across spot markets, derivatives, and on-chain activity, powering the trading systems and research platforms of leading financial institutions.

Core Product Features

Spot Market Data

Trade Data: Tick-level trade data from major cryptocurrency exchanges worldwide with standardized formatting and quality validation.

Order Book Data: Level 2 order book snapshots and updates for market microstructure analysis and execution algorithms.

OHLCV Data: Aggregated candlestick data at multiple timeframes for charting and technical analysis.

Reference Prices: Aggregated reference pricing across exchanges for accurate valuation.

Derivatives Data

Futures Data: Open interest, funding rates, and trade data for perpetual and dated futures across major venues.

Options Data: Options chains, implied volatility, Greeks, and volatility surfaces for options analysis and trading.

Derivatives Analytics: Cross-venue analytics including basis, term structure, and volatility metrics.

On-Chain Data

Transaction Data: Blockchain transaction data including transfers, smart contract interactions, and token movements.

Address Analytics: Address balance histories, transaction patterns, and entity clustering.

Token Metrics: ERC-20 and other token standard metrics including supply, holders, and transfer activity.

Data Delivery

REST API: Comprehensive REST API with extensive documentation and SDKs.

WebSocket Streaming: Real-time data streaming for latency-sensitive applications.

Cloud Integration: Native integration with Databricks, Snowflake, and major cloud platforms.

Key Product Differentiators

Institutional Quality: Data quality and delivery meet requirements of regulated financial institutions.

Unified Platform: Single API covers spot, derivatives, and on-chain data eliminating multi-vendor complexity.

Cloud-Native: Modern cloud integrations enable seamless data pipeline construction.

Ideal Use Cases

• Quantitative trading systems requiring real-time market data
• Research platforms conducting cross-market analysis
• Risk systems monitoring portfolio exposure
• Compliance teams tracking transaction activity
• Analytics platforms building institutional products