cottonwood-development/synthetic-bfsi-500-sample

ISO 20022 500 — Free Sample (50 records)

This is a free 50-record sample of the full 500-record commercial dataset. Every record in this sample is a real, valid bfsi record — real records, just the data. you'd build by hand.

What's in this sample

• 50 records in records.jsonl (NDJSON, one record per line)
• Schema-validated: every record parses against the real industry-standard schema before publishing
• Ready to use: import directly into any bfsi pipeline — no transformation step needed
• Format: standard JSON Lines (.jsonl), bfsi-native structure

Why these records hold up

Most synthetic datasets are "good enough" — they look like the right shape, but fail against real-world parsers. Cottonwood Development's datasets are generated and validated against the actual schema:

• Healthcare records validate as valid FHIR R4 Patient resources
• Banking messages parse against the ISO 20022 pacs.008.001.10 XSD
• CRM records maintain referential integrity (customer → orders → line items)
• Invoice records have internally-consistent totals (subtotal + tax = total)

Every record passes schema validation before publishing. If it doesn't parse against the real spec, it doesn't ship.

Sample record

{
 "GrpHdr": {
 "MsgId": "MSG123456789",
 "CreDtTm": "2023-10-01T10:00:00Z",
 "NbOfTxs": 1,
 "InitgPty": {
 "Nm": "XYZ Corporation"
 }
 },
 "CdtTrfTxInf": {
 "PmtId": {
 "InstrId": "PAY001",
 "EndToEndId": "EET001"
 },
 "PmtTpInf": {
 "CtgyPurp": "SALA"
 },
 "IntrBkSttlmAmt": {
 "Amt": 500,
 "Ccy": "USD"
 },
 "Dbtr": {
 "Nm": "John Doe"
 },
 "DbtrAcct": {
 "Id": {
 "IBAN": "GB29NWBK60161331926845"
 }
 },
 "DbtrAgt": {
 "FinInstnId": {
 "BIC": "BNPAFRPP"
 }
 },
 "Cdtr": {
 "Nm": "Jane Smith"
 },
 "CdtrAcct": {
 "Id": {
 "IBAN": "DE89370400440532013000"
 }
 },
 "CdtrAgt": {
 "FinInstnId": {
 "BIC": "CHASUS33"
 }
 }
 }
}

Schema

The full dataset uses the following field structure:

Field	Type	Description
GrpHdr.MsgId	string	Unique message identifier
GrpHdr.CreDtTm	datetime	ISO 8601 creation timestamp
CdtTrfTxInf.PmtTpInf.CtgyPurp	string	Category purpose code
CdtTrfTxInf.IntrBkSttlmAmt	object	Settlement amount + currency
CdtTrfTxInf.Dbtr	object	Debtor (name + IBAN + BIC)
CdtTrfTxInf.Cdtr	object	Creditor (name + IBAN + BIC)

Use cases

• Production-scale test fixtures for payment processing
• Population-level demos for fintech applications
• Statistical validation of payment pipeline behavior
• ML training for fraud detection, anomaly detection at scale

Get the full 500-record commercial dataset

This is a 50-record sample. The full commercial dataset contains 500 records for $25, Schema-validated, with full JSON representations of ISO 20022 pacs.008 messages at production scale.

Buy on Gumroad: https://bluecore8.gumroad.com/l/cottonwood-bfsi-500-records

About Cottonwood

A one-person data shop generating Schema-validated synthetic datasets for AI training, ML eval, and application testing. Every product is generated against an industry-standard schema and validated against the real parser before publishing. 100% synthetic, no real customer data, no legal overhead.

License

This sample is released under CC0 1.0 (public domain dedication). You can use it for any purpose, including commercial use, without attribution.

The full commercial dataset is sold under a separate license (see Gumroad product page for terms).