Certified Synthetic
Synthetic Insurance Claims Dataset (200k rows)
Policy, claims, and risk data for actuarial modeling.
Rows
200,000
Columns
32
Issued
March 20, 2026
Algorithm
CTGAN
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-insurance-claims-200k
- Generation algorithm
- CTGAN
- Certification status
- Not certified
Recommended use cases
insurance
claims
actuarial
risk-modeling
ml-training
Certification details
- Artifact fingerprint
- 07182930a4...45678901
- Signature algorithm
- Ed25519
- Issued
- March 20, 2026
SHA-256 fingerprint of the certified artifact
Any modification to the artifact invalidates the certificate fingerprint. Verification can be performed independently using the public key and verification endpoint.
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.