---
license: other
license_name: alerterra-commercial
license_link: https://alerterra.com/data-license
tags:
- synthetic
- aml
- fatf
- money-laundering
- typologies
- financial-crime
size_categories:
- 1K<n<10K
language:
- en
pretty_name: "FATF Typology Transaction Dataset"
extra_gated_prompt: "Access this dataset by providing your details below. You'll get instant access to the free sample (100 records). Contact data@alerterra.com for the full dataset."
extra_gated_fields:
  Company: text
  Role: text
  Country: country
  "I agree to Alerterra's data usage terms": checkbox
---

# FATF Typology Transaction Dataset

> 30+ labeled money laundering typologies as realistic transaction sequences

**Publisher:** [Alerterra Intelligence](https://alerterra.com) | **Version:** 1.0 | **Updated:** March 2026

## Overview

This dataset is part of the **Alerterra Synthetic Intelligence Data Suite** — 132 records across 21 fields, generated using domain-specific AI models trained on patterns from Alerterra's enterprise intelligence platform.

**100% synthetic** — zero PII, zero real entity data. Safe for AI/ML model training, system testing, compliance demonstrations, and analyst training.

## Use Cases

- Train AML detection models against documented FATF typologies
- Benchmark transaction monitoring systems
- Validate rule-based and ML detection engines
- Support analyst training on ML pattern recognition
- Test SAR filing decision support tools

## Dataset Structure

| Metric | Value |
|--------|-------|
| Records | 132 |
| Fields | 21 |
| Formats | CSV, JSON, Parquet |
| Update Frequency | Monthly |

### Fields

| Field | Type | Description |
|-------|------|-------------|
| `sequence_id` | object | Sequence Id |
| `typology_code` | object | Typology Code |
| `typology_name` | object | Typology Name |
| `typology_category` | object | Typology Category |
| `transaction_count` | int64 | Transaction Count |
| `total_value_usd` | float64 | Total Value Usd |
| `time_span_days` | int64 | Time Span Days |
| `jurisdictions_involved` | object | Jurisdictions Involved |
| `entities_involved` | int64 | Entities Involved |
| `entity_types` | object | Entity Types |
| `channels_used` | object | Channels Used |
| `detection_difficulty` | object | Detection Difficulty |
| `key_indicators` | object | Key Indicators |
| `regulatory_reference` | object | Regulatory Reference |
| `source_of_funds` | object | Source Of Funds |
| `predicate_offense_country` | object | Predicate Offense Country |
| `destination_country` | object | Destination Country |
| `professional_enablers` | object | Professional Enablers |
| `sar_filed` | bool | Sar Filed |
| `prosecution_outcome` | object | Prosecution Outcome |
| `amount_recovered_usd` | float64 | Amount Recovered Usd |

## Sample Data

This repository contains a **free sample** (100 records). The full dataset and monthly refresh subscriptions are available at [alerterra.com](https://alerterra.com).

### Pricing

| Tier | Details |
|------|---------|
| Sample | Free (100 records) |
| Standard | $10,000 |
| Professional | $25,000/year |
| Enterprise | $25,000-$75,000/year |

## Methodology

Generated using Claude AI with domain-specific context injection encoding Alerterra's intelligence platform expertise (Vigila, Tradana, Gradara, Condura, Scrutera, RegSeal). Every dataset undergoes automated statistical validation, correlation analysis, and domain-specific business rule checks.

## Citation

```bibtex
@dataset{alerterra_fatf_typologies_2026,
  title = {FATF Typology Transaction Dataset},
  author = {Alerterra Intelligence},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/alerterra/fatf_typologies}
}
```

## Contact

- **Website:** [alerterra.com](https://alerterra.com)
- **Data inquiries:** data@alerterra.com
- **Enterprise:** enterprise@alerterra.com