- Within Pagos Insights
- Via your preferred AI tools with the Pagos MCP Server
- In Slack with Pagos Tag
Pagos AI Application Areas
Pagos AI has four primary application areas:Data Analysis
Interpret payments data including approval rates, chargebacks, disputes, refunds, fees, and transaction volumes across multiple dimensions (e.g. processor, card brand, issuer country, etc.)
Product Support
Help users navigate the Pagos Insights platform and understand available features and tools
Payments Education
Define payments concepts and explain industry changes (e.g. Visa CEDP, interchange categories)
Insight Generation
Identify trends, shifts, and anomalies in payments performance with actionable recommendations
Pagos AI Best Practices
To get the most out of Pagos AI, we suggest following these best practices:- Be specific - Include relevant dimensions, time periods, and filters in your questions (e.g. What is my approval rate for Visa credit card transactions in Q1?)
- Verify important insights - Cross-check critical findings using direct data views in Pagos Insights
- Ask for clarification - If Pagos AI makes assumptions, ask it to explain its reasoning
- Report issues - Contact Pagos Support if you encounter incorrect information or unexpected behavior
- Use appropriate features - For transaction exports or raw data, use the appropriate platform tools rather than asking the AI
Example Queries
If you’re not sure where to start with Pagos AI, use one of the following example questions:- Which BIN has the highest approval rate in the US with more than 1,000 transactions in the last month?
- Which decline code from the last 7 days have I not seen this year to date?
- Compare my average approval rate for the last 30 days to the 30 days before; what changed?
- What decline code from an initial transaction has the highest success rate upon retry (year-to-date)?

