Cosmos brings Consumer Edge's transaction data directly into ChatGPT. Ask questions in plain English and get analyst-grade answers built on near-real-time spend data from millions of US credit and debit cards, covering thousands of brands and merchants — weeks ahead of company reporting. Work directly with transaction-level data to build custom cohorts, run price-point analyses, and answer questions aggregates can't.
Each question runs through Cosmos, Consumer Edge's AI analytics engine, which selects the right metrics, handles panel weighting and merchant hierarchies, and returns a structured summary with the underlying data. Results come back as queryable tables, so ChatGPT can run follow-up analysis, calculate custom metrics, or build charts without re-querying.
Key features:
Natural language querying — no SQL or schema knowledge required; ask about brands, tickers, or merchant groups directly
Full KPI coverage — spend, transactions, average ticket, unique shoppers, visit frequency, and new customer acquisition
Demographic and cohort breakdowns — segment any brand's performance by customer income cohort
Flexible time grains — daily, monthly, or quarterly trends, including quarter-to-date reads on partial periods
Analyst-ready output — answers flag accelerations, decelerations, calendar shifts, and partial-month caveats automatically
Use it to:
Track brand performance ahead of earnings — monthly and quarter-to-date spend growth versus prior periods
Run competitive benchmarking — compare KPIs and market share shifts across any set of brands
Analyze customer behavior — see where new customer growth comes from and whether cohorts are trading down
Spot inflection points — decompose month-over-month changes into customer count, frequency, and ticket drivers
Requires a Consumer Edge subscription with MCP access enabled.