financialsyntheticfraudcredit_cardtransactionsmachine_learningparquettabular

Synthetic credit-card fraud transactions V4.2 — Advanced 500K

V4.2 Advanced 500K fixed synthetic snapshot · Updated Oct 28, 2026

$39

Fixed price

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Category
Financial
Format
ZIP
Update Frequency
Not documented
Collection Method
uploaded
PII
No flagged field names; not a privacy audit
File Size
~82.76 MB
Download links issued
0

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 Advanced 500K fixed synthetic snapshot
Data last updated
2026-10-28 (V4.2 fixed synthetic snapshot)
Update schedule
Fixed snapshot, no planned updates. Other tiers sold separately.

Source documentation ↗

License terms ↗

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: Advanced — 500,000 rows × 64 columns (populations S01+S02). 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, Pro 250K $29, 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 example
python3 retrieve-dataset.py b12509e6-774c-4474-8747-66d5a68c91dd --output dataset.bin
Full supplier documentation
Fully synthetic, history-aware credit-card-style transaction dataset for fraud ML prototyping and demos. Not real bank data. Tier: Advanced — 500,000 rows × 64 columns (populations S01+S02). 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, Pro 250K $29, Enterprise 1M $59. License: https://synthdatalabs.shop/license/ Support: support@synthdatalabs.shop

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

Via MCP Server
# 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: b12509e6-774c-4474-8747-66d5a68c91dd
buy_now({ dataset_id: "b12509e6-774c-4474-8747-66d5a68c91dd" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/b12509e6-774c-4474-8747-66d5a68c91dd \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/b12509e6-774c-4474-8747-66d5a68c91dd/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "b12509e6-774c-4474-8747-66d5a68c91dd"}'