Synthetic credit-card fraud transactions V4.2 — Pro 250K
V4.2 Pro 250K fixed synthetic snapshot · Updated Oct 27, 2026
Source, license and coverage
Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.
- License
- SynthData Labs Commercial License V4.2 — see LICENSE.md. Commercial ML use allowed. No redistribution of raw or substantially equivalent data.
- Source / creator
- Alireza Nasirianfar / SynthData Labs
- Collection method
- Fully synthetic generator (not scraped, not real banks)
- Coverage / snapshot
- V4.2 Pro 250K fixed synthetic snapshot
- Data last updated
- 2026-10-27 (V4.2 fixed synthetic snapshot)
- Update schedule
- Fixed snapshot, no planned updates. Other tiers sold separately.
Synthetic only; 8% fraud by design; no formal privacy guarantee; leakage/usage limits apply.
Sample structure score: Not assessed
This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.
This sample format is not supported for structured assessment
How the score is calculated, its limitations, and how to correct an assessment →About this data
Fully synthetic, history-aware credit-card-style transaction dataset for fraud ML prototyping and demos. Not real bank data. Tier: Pro — 250,000 rows × 64 columns. Exactly 8% fraud labels across 7 scenario types (unusual_amount, high_velocity, account_takeover, unusual_location, card_testing, device_anomaly, merchant_anomaly) plus none. Includes CSV + Parquet, linked entity tables (customers, accounts, merchants, devices), docs, and SHA-256 checksums. Every included customer has their complete V4.2 transaction history. Free 10K sample on Kaggle (https://www.kaggle.com/datasets/alirezanasirianfar/synthetic-credit-card-fraud-v4-2-10k-free). Other tiers: Starter 100K $19, Advanced 500K $39, Enterprise 1M $59. License: https://synthdatalabs.shop/license/ Support: support@synthdatalabs.shop
Retrieve with your agent or Python
Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.
Download the Python examplepython3 retrieve-dataset.py 2120f090-7daf-4590-b13c-60c2ae00d8c3 --output dataset.bin
Full supplier documentation
Schema
Schema not available
Sample Data
Download a free sample to inspect the data before purchasing.
Public sample only. Sign in to retrieve the full dataset, including free datasets.
For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Synthetic credit-card fraud tr" })
// Found: 2120f090-7daf-4590-b13c-60c2ae00d8c3
buy_now({ dataset_id: "2120f090-7daf-4590-b13c-60c2ae00d8c3" }) // uses your saved card# Authenticate with your API key:
curl https://api.databazaar.io/datasets/2120f090-7daf-4590-b13c-60c2ae00d8c3 \
-H "Authorization: Bearer YOUR_API_KEY"
# Purchase:
curl -X POST https://api.databazaar.io/datasets/2120f090-7daf-4590-b13c-60c2ae00d8c3/buy \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"dataset_id": "2120f090-7daf-4590-b13c-60c2ae00d8c3"}'