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Zalingo Synthetic Finance — Premium Evaluation Kit - 1M Rows
Synthetic Tabular Data
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£1,999
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Zalingo Synthetic Finance — Premium Evaluation Kit (Fraud • Authorization • Cross-Border) — 1M Rows + Notebooks
A premium, end-to-end evaluation kit for payments analytics and risk modelling. You get ~1,000,000 privacy-safe synthetic transactions spanning card-not-present (CNP) fraud, authorization outcomes, and cross-border/FX fees, plus Jupyter notebooks and data dictionaries—so teams can benchmark pipelines and models quickly without handling real cardholder data (no PII).
Scaling up? After purchase, message us about enterprise bundles (tens of millions of rows) and weekly/daily refresh subscriptions delivered via S3/API.
What’s Inside
- Data (Parquet, Snappy): ~1,000,000 rows, partitioned by date/merchant/MCC; includes labels & precomputed features.
- Notebooks: EDA & quality, feature engineering (velocity/geo/device/merchant/graph-lite), and baseline models with ROC/PR & cost curves.
- Docs & Schema: Data dictionary, label policy, quick-start guide, JSON schema examples.
Key Fields (representative)
- Core:
transaction_id,account_id,ts_utc,amount,currency,channel(pos|ecom|atm|transfer),mcc,merchant_id,merchant_country,device_fingerprint,ip_country,user_agent. - Authorization:
three_ds_result,avs_result,cvv_result,auth_result,decline_reason_code. - Velocity:
txn_ct_15m/1h/24h/7d,amount_sum_1h/24h,unique_merchant_ct_7d. - Geo/Behavior:
distance_km_billing_shipping,first_time_merchant_flag,recurring_flag,coupon_used. - Cross-Border & FX:
is_cross_border,home_currency,fx_rate_used,fx_markup_bps,fee_total. - Merchant/MCC:
merchant_risk_tier,mcc_group,merchant_country_risk_index. - Graph-lite:
shared_device_ct_7d,shared_ip_ct_7d,hub_account_flag(synthetic). - Labels & Scores:
fraud_label (0/1),chargeback_flag (0/1),risk_score_0_1,chargeback_reason_code.
Distribution
- Format: ZIP with /data (Parquet), /notebooks, /docs, /schema.
- Volume: ~1,000,000 rows, 25–45 columns, multi-part Parquet.
- Approx Size: 60–150 MB zipped (category-dependent).
- Partitioning: by
event_date/merchant_id/mcc_groupfor efficient reads.
Usage
- Fraud & chargeback modelling (baselines, cost curves, feature ablations).
- Authorization optimisation (AVS/3DS policy experiments, threshold tuning).
- Cross-border/FX (markup benchmarking, margin sensitivity).
- Pipeline QA & MLOps (schema contracts, drift monitors, dashboards).
- Education & enablement (hands-on exercises without compliance hurdles).
Coverage
- Geographic: Multi-country synthetic coverage (ISO codes).
- Time Range: Recent multi-year synthetic window with weekly/seasonal patterns.
- PII: None — fully synthetic; not re-identifiable.
Who Can Use It
- Risk/Data Science, Payments/FinOps, Product/Analytics, Vendors/SIs for demos and validation.
Notes / Disclaimers
- Not real cardholder data. Not for production credit decisions.
- Rates/labels/fees are synthetic calibrated distributions and do not reflect any specific issuer/acquirer/PSP.
Evaluation License (Non-Production, Internal Use Only — 90 Days)
Buyer is granted a non-exclusive, non-transferable license to use the data and included assets solely for internal evaluation, prototyping, and testing for 90 days from purchase. No production use, external distribution, resale, sublicensing, or sharing beyond Buyer’s employees and on-site contractors under NDA. Derived models/features may be retained for internal research; production deployment requires a separate enterprise license. All materials are provided “as is” without warranties; liability limited to the amount paid.
QUALITY