generate_latam_financial_data
Read-onlyIdempotent
Generate privacy-safe synthetic users, savings goals, and transactions for Latin American fintech testing, QA, demos, and ML pipelines. Produce reproducible datasets without PII to support agent evaluation and data workflows.
Instructions
Generate privacy-safe synthetic financial data for Latin America.
Use this tool when you need synthetic financial users, savings goals and
transactions for Latin American fintech testing, QA, demos,
machine-learning experiments, data pipelines or agent evaluation. The output
is fully synthetic: it is sampled from aggregate distributions and contains
no personally identifiable information and no real records.
Args:
users: Number of synthetic users to generate. Use 1 to 200.
seed: Random seed for reproducible datasets. The same seed and
parameters always return the same dataset.
countries: Optional list of Latin American countries to include,
for example ["Colombia", "Mexico"].
start_date: Optional ISO start date of the generated period,
for example "2023-01-01".
end_date: Optional ISO end date of the generated period,
for example "2024-12-31".
Returns:
Synthetic users, linked savings goals, linked transactions,
and dataset row counts.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| seed | No | ||
| users | No | ||
| end_date | No | ||
| countries | No | ||
| start_date | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||