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.

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CE Cosmos Deep Dive