Synthetic Credit Card Transactions (250k rows)
Transaction-level data for fraud detection and risk modeling — fully synthetic.
Dataset at a glance
- Rows
- 250,000
- Columns
- 30
- Algorithm
- CTGAN
- Formats
- CSV / JSON / Parquet
- Industry
- Finance
- Issued
- March 20, 2026
Schema preview
Representative fields — assess structural fit before purchase.
| Field | Type |
|---|---|
| transaction_id | uuid |
| account_id | varchar(32) |
| amount_usd | numeric(12,2) |
| merchant_category | varchar(64) |
| is_fraud | boolean |
| transaction_ts | timestamptz |
Recommended use cases
Build and evaluate fraud classifiers with labeled synthetic transaction data.
Develop anti-money-laundering rules on realistic ledger patterns.
Run capital adequacy and stress scenarios without using live customer data.
Train underwriting models on synthetic loan and repayment records.
Best for your use case
Fraud Detection — Verification Sample
A small synthetic dataset published to demonstrate CertifiedData's verification path end to end: download the file, hash it yourself, and check that digest against the signed certificate.
Cryptographic proof of provenance
- SHA-256 fingerprint
- b2c3d4e5f6071829a3b4c5d6e7f80911…
- Signature algorithm
- Ed25519
- Issued
- March 20, 2026
Regulated domain — suitable for compliance-aware AI development
✔ Certification included
Request enterprise dataset →Generate similar datasetBest handled as a custom dataset
Custom schema, volume scaling, and certification — all included.