Data & Research · GitHub ·79 ★

AML-Data

The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data is in CSV format. The data is generated using a multi-agent virtual world model. All of the agents

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Details

Author
IBM
Category
Data & Research
Platform
GitHub
Framework
custom
Language
unknown
Stars
79
First indexed
2026-05-15
Last active
2025-09-17
Directory sync
2026-05-15
@IBM

Overview

The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data is in CSV format. The data is generated using a multi-agent virtual world model. All of the agents

Quick start

git

git clone https://github.com/IBM/AML-Data

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What AML-Data can do

legaldata
  • Legal — Reviews legal text (always with a disclaimer).
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is AML-Data?
The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data is in CSV format. The data is generated using a multi-agent virtual world model. All of the agents
How do I install AML-Data?
Use git: `git clone https://github.com/IBM/AML-Data`. Full setup details on the source page linked above.
Is AML-Data open source?
AML-Data is published on GitHub.
What are alternatives to AML-Data?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for AML-Data is sourced from GitHub, published by IBM.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.