LSEG Data Platform APIs

A comprehensive suite of modern web APIs offering institutional-grade real-time market data, price discovery, and deep analytical services.

About LSEG Data Platform APIs

The LSEG (London Stock Exchange Group) Data Platform provides a modern, expansive web API ecosystem designed for enterprise developers, quants, and institutional analysts. It offers uniform access to the vast breadth and depth of financial data, pricing discovery tools, and sustainability (ESG) metrics managed by LSEG and Refinitiv.

The platform offers multiple distinct ingestion methods. Developers can leverage Real-Time Market Data APIs (EMA and ETA) utilizing C++, C#, and Java SDKs for high-frequency workflows. For more flexible, programmatic extraction, the DataScope Select APIs provide deep historical and reference data access. Additionally, modern web APIs power data retrieval directly from desktop Workspace environments.

LSEG heavily supports its ecosystem with robust Data Library SDKs available in Python, TypeScript, and .NET, lowering the integration complexity for machine learning pipelines and quantitative analysis.

Key Features

Feature 1: Real-Time Market Data APIs via Enterprise Message API (EMA) and Transport API (ETA).
Feature 2: DataScope Select REST APIs for flexible, scheduled bulk extraction workflows.
Feature 3: Workspace APIs for seamless integration directly into desktop applications.
Feature 4: Ease-of-use Data Library SDKs available in Python, .NET, and TypeScript.
Feature 5: Advanced Dealing Pricing API and robust Price Discovery capabilities.
Feature 6: Deep sustainable finance pipelines encompassing over 400 ESG metrics.

Pricing

Pricing is not publicly specified.

Use Cases

Powering high-frequency trading systems with real-time Enterprise Transport API (ETA) data
Building sophisticated AI and Machine Learning pipelines for predictive M&A targets
Integrating extensive ESG data into sustainable investment strategy models
Embedding live market data workflows into in-house desktop applications

Pros & Cons

Pros:

Institutional-tier data breadth, including rare ESG and digital identity compliance pipelines.
Phenomenal SDK support across multiple modern languages (Python, TypeScript, C++, Java, .NET).
Highly scalable, capable of supporting both real-time streams and bulk scheduled extractions.

Cons:

Primarily geared toward massive enterprise architectures, which can be overkill for small apps.
Pricing and onboarding require institutional enterprise sales processes.