LSEG Messenger DataParser

Download __exclusive__ Mantra Color Separation Script Best Jun 2026

Does it calculate how much ink you will actually use?

The script is often distributed through community-based channels and specialized printing groups. You can find detailed walkthroughs and official contact information for the tool on the MANTRA Color Separation Script YouTube Channel .

Make sure you are downloading the latest version of Mantra to ensure compatibility with the newest Adobe Creative Cloud updates!

: Customizable frequency, angle, and dot shapes (such as ellipse) to minimize moiré patterns.

Key Features of LSEG Meseenger DataParser

  • Automatically downloads data from Refinitiv Messenger.
  • Collects Messenger Chats and shared Files.
  • Maintains source transcripts from Messenger.
  • Message tagging and output options.

Tell me about license plans

Does it calculate how much ink you will actually use?

The script is often distributed through community-based channels and specialized printing groups. You can find detailed walkthroughs and official contact information for the tool on the MANTRA Color Separation Script YouTube Channel .

Make sure you are downloading the latest version of Mantra to ensure compatibility with the newest Adobe Creative Cloud updates!

: Customizable frequency, angle, and dot shapes (such as ellipse) to minimize moiré patterns.

DataParser Supported Data Sources

DataParser is a modular connector software solution designed to meet Compliance, Legal, Security, HR and IT requirements. Chats, Meetings, Documents, Data feeds, Collaboration Platforms and Databases are supported. DataParser handles the collection from the source, formatting of the data, filtering of output and delivery to an archive, eDiscovery platform or storage repository. 17a-4 partners with all data source providers to ensure continuous support of new features.  17a-4’s software team has streamlined the development of new interfaces.  Please get in contact if you are using a platform not listed below and would like us to add it to our DataParser roadmap.