license: other
license_name: alerterra-commercial
license_link: https://alerterra.com/data-license
tags:
- synthetic
- sanctions
- geopolitical
- trade
- economics
- simulation
size_categories:
- 1K<n<10K
language:
- en
pretty_name: Sanctions Cascade Simulation Data
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
Sanctions Cascade Simulation Data
Forward-looking cascade modeling across trade networks and financial systems
Publisher: Alerterra Intelligence | Version: 1.0 | Updated: March 2026
Overview
This dataset is part of the Alerterra Synthetic Intelligence Data Suite — 152 records across 26 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
- Stress-test compliance programs against sanctions escalation
- Model secondary sanctions impact on trade portfolios
- Train predictive models for sanctions evasion detection
- Support strategic planning for sanctions-exposed businesses
- Assess humanitarian exemption gaps
Dataset Structure
| Metric | Value |
|---|---|
| Records | 152 |
| Fields | 26 |
| Formats | CSV, JSON, Parquet |
| Update Frequency | Monthly |
Fields
| Field | Type | Description |
|---|---|---|
scenario_id |
object | Scenario Id |
scenario_name |
object | Scenario Name |
primary_target |
object | Primary Target |
sanctioning_authority |
object | Sanctioning Authority |
cascade_type |
object | Cascade Type |
trigger_event |
object | Trigger Event |
trigger_date |
object | Trigger Date |
total_affected_countries |
int64 | Total Affected Countries |
directly_affected |
object | Directly Affected |
secondarily_affected |
object | Secondarily Affected |
affected_sectors |
object | Affected Sectors |
affected_commodities |
object | Affected Commodities |
total_economic_impact_usd |
float64 | Total Economic Impact Usd |
trade_diversion_volume_usd |
float64 | Trade Diversion Volume Usd |
evasion_risk_score |
float64 | Evasion Risk Score |
evasion_methods |
object | Evasion Methods |
financial_system_impact |
object | Financial System Impact |
energy_price_impact_pct |
float64 | Energy Price Impact Pct |
food_price_impact_pct |
float64 | Food Price Impact Pct |
duration_estimate_months |
int64 | Duration Estimate Months |
compliance_cost_increase_pct |
float64 | Compliance Cost Increase Pct |
over_compliance_risk |
float64 | Over Compliance Risk |
humanitarian_exemption_gaps |
object | Humanitarian Exemption Gaps |
historical_precedent |
object | Historical Precedent |
effectiveness_score |
float64 | Effectiveness Score |
escalation_probability |
float64 | Escalation Probability |
Sample Data
This repository contains a free sample (100 records). The full dataset and monthly refresh subscriptions are available at alerterra.com.
Pricing
| Tier | Details |
|---|---|
| Sample | Free (100 records) |
| Standard | $8,000 |
| Professional | $20,000/year |
| Enterprise | $25,000-$60,000/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
@dataset{alerterra_sanctions_cascade_2026,
title = {Sanctions Cascade Simulation Data},
author = {Alerterra Intelligence},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/alerterra/sanctions_cascade}
}
Contact
- Website: alerterra.com
- Data inquiries: data@alerterra.com
- Enterprise: enterprise@alerterra.com