New content delivery channel provides flexibility to adapt to evolving workflow requirements
Interactive Data, a leading provider of trusted, mission critical information for over 10 million financial instruments, including evaluated pricing and reference data, announced today that it has launched the APEX® web service, which leverages the APEX logical data model covering descriptive and pricing data. The APEX web service provides on-demand, programmatic access to the full breadth and depth of content available in APEX through a flexible, open web delivery model that enhances data quality, coverage and operational efficiency.
With the addition of the web service, APEX clients can mix and match from among four delivery channels, all leveraging a shared data model, to meet the needs of their workflows:
- Scheduled intraday delivery of XML files
- On-demand, programmatic access
- Event-driven messaging service
- Ad-hoc access to a fully hosted managed data service
The APEX web service tool gives clients the ability to integrate data into applications or systems without the need to manage data infrastructure or to update scheduled file deliveries for trade set up, compliance or other time-critical applications. The APEX web service can be quickly integrated with existing applications and used independently or in conjunction with the file or message delivery service, depending on requirements.
“Interactive Data wants to make our data content as easy to consume as possible. Our clients have asked us for on-demand access to meet their intraday needs for trade setup, compliance and risk management and other applications. We are delighted to announce the addition of industry standard web services capabilities to the existing APEX delivery channels," said Hubert Holmes, Managing Director of Reference Data at Interactive Data. "The APEX web service delivers a comprehensive universe of global, multi- asset data sets through a web delivery model that allows quick, simple and open industry standard integration with the flexibility to adapt to evolving data governance models."