Pagos Launches AI-Ready Payments Data Platform for Enterprise Merchants

Pagos has introduced a payments data platform that transforms fragmented transaction information into a unified, AI-ready dataset, announced in a press release. The platform provides enterprise merchants with harmonized data across multiple payment processors, enabling consistent analytics, optimization, and integration with AI-driven workflows.

Pagos connects directly to merchants' payment processors to ingest transaction-level data, normalize it under a single data model, and enrich it with context from both the broader payments ecosystem and the merchant’s own operations. The company reports processing over 16 billion transaction events, representing more than $1.3 trillion in payment volume.

The platform includes APIs for real-time data ingestion and enrichment, allowing businesses to tag transactions with their own contextual attributes such as product lines, customer segments, and acquisition channels. It also integrates updated BIN data from major global card networks to append details like issuing bank, card type, and payment method.

Designed to support evolving AI and automation needs, the Pagos platform can export harmonized data to analytics tools or data warehouses, and also offers an MCP server to let large language models query payments data directly in natural language. Merchants can access harmonized datasets within minutes of connecting their processors, without requiring code or infrastructure changes.