Real-World Economic Intelligence for AI

Give synthetic consumers a foundation rooted in reality.

A simulated consumer can have an age, income, ZIP code, personality, and preferences. But does it actually spend like one?

Facteus provides credit card purchase data for AI platforms that need observed, unbiased consumer behavior to ground, calibrate, simulate, and train the way their agents behave in the real economy.

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Realistic profiles are easy. Realistic behavior is much harder.

The purchase

What do real consumers buy, where, how often, and for how much?

The context

How does spending differ across geography, income, generation, categories, and merchants?

The reaction

What happens when price changes, consumer confidence shifts, or a category begins to accelerate?

The benchmark

Does your simulated population produce outputs resembling the real economy?

Credit card purchase data for AI simulations provides an empirical behavioral layer instead of relying entirely on assumptions about what consumers might do.

Give every stage of the model a reality check.

Product & Research

Ground synthetic populations and scenario design in credit card purchase data built for artificial intelligence but based in real economic intelligence.

Data Science

Use transaction histories and aggregated signals to calibrate distributions, cohorts, switching behavior, and other fields you care about.

Model Evaluation

Compare simulated outcomes with historical spending behavior and independent economic benchmarks.

Commercial & Strategy

Demonstrate that the synthetic economy has a measurable relationship to actual consumer behavior.

Ground your questions in real-world behavior with Facteus.

Do synthetic consumers spend like real ones?

Compare modeled distributions with observed purchasing patterns across categories, merchants, and consumer cohorts.

Does the simulation react realistically when conditions change?

Use historical transaction periods to test behavior through different economic environments.

Are agents capturing switching and trade-down?

Compare modeled customer movement with observed cross-shopping, wallet migration, and category changes.

Is this scenario plausible? Or just possible?

Use real-world behavioral ranges to evaluate where simulated outcomes sit relative to observed consumers.

Bring us the behavior your model is missing.

A switching pattern. A category shock. A geographic demand shift. A synthetic population that needs a reality check.

We’ll show you the real transactions behind it.

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Frequently Asked Questions

How can platforms use Facteus credit card purchase data for AI?

Facteus data can support simulation, behavioral calibration, scenario development, economic research, and evaluation against observed consumer behavior.

What level of granularity is available?

Facteus products range from row-level transaction streams to aggregated spend signals and cohort-level analysis.

Is historical point-in-time data available?

Point-in-time history is available for applicable products and can support historical testing and simulation workflows.

How is the data delivered?

Depending on the product and approved use case, delivery can include Snowflake, S3, API, and other workflows.

How is the signal validated?

Facteus benchmarks its entire intelligence suite against external measures including BEA Personal Consumption Expenditures and U.S. Census Retail Sales Data.

How do you handle AI licensing and privacy?

Facteus data is anonymized and governed for approved enterprise applications. Permissible AI uses and licensing requirements are evaluated based on the specific application.