Synthetic Credit Risk Applications (120k rows)
Loan application and default signals for credit scoring model development.
Dataset overview
Designed for analytics, testing, and model development — fully synthetic with verifiable provenance and tamper-evident certification.
- Formats
- CSV, JSON, Parquet
- Dataset slug
- synthetic-credit-risk-applications-120k
- Generation algorithm
- CTGAN
- Certification status
- Not certified
Recommended use cases
Certification details
- Artifact fingerprint
- f607182930...567890de
- Signature algorithm
- Ed25519
- Issued
- April 14, 2026
Why buy this dataset
Use realistic structured data without exposing live production records or regulated personal data in downstream workflows.
The certification record provides a machine-verifiable proof layer that supports trust, auditability, and downstream integrity checks.
Suitable for demos, analytics, QA environments, prototyping, and model development workflows where data provenance matters.
Proof of governed execution
Every purchase creates an Ed25519-signed receipt — verifiable proof that this transaction was authorized, executed, and recorded.
Verifiable lineage
Receipts can reference upstream proof records, creating a tamper-evident chain from artifact to commercial action.
Policy-checked before execution
Policy evaluation occurs prior to capture. If denied, no charge is recorded.