We’re excited to announce that we’ve utilized Snowflake to share our attributes table from our Snowflake data warehouse with yours! We’ve received a lot of feedback from data science and risk teams that a much easier way to work with Pave’s data is by accessing tables rather than calling the API for each user. This allows you to rapidly test and incorporate our 300+ attributes in an ML model or for analysis.
Benefits
- Risk modelers and data scientists will be able to train ML models with their own proprietary attributes but also easily utilize Pave’s.
- We currently offer 300+ attributes that you can retrieve to evaluate users for fraud and cash advances.
- We add 5-10 more attributes every week.
- Features are refreshed daily.
Use Cases
- Risk modeling for fraud
- Cash advance risk
- ACH risk
- Overdraft risk
- Credit risk
Contact us to learn more.
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