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Anthropic's commerce agents blueprint gives a store a shopping agent and a merchant agent in days. It leaves the customer profile to you. Here is how to fill it with consumer attributes, personas, recommendations, and propensity, with a test to prove it helped.

Seamus Abshere

on Sep 8, 2026

Most brands route customers to a location by zip code. Nearest Location replaces that with the real distance from every person to every location you have. Here's what it does and what you can build with it.

Robin Spencer & 

Ben Rose

on Sep 8, 2026

Faraday Pro is a new way to buy context from Faraday — pick the data points you want, pay for what matches, and start today with nothing but a credit card. It's the same data our enterprise clients build on.

Andy Rossmeissl

on Aug 13, 2026

Finance declines are one of the most expensive problems in home services — and in the current economic climate, they're getting worse. Here's how Faraday clients are using predictive scores to cut the waste before it hits the bottom line.

David Small & 

Chris Waite

on Jul 29, 2026

Faraday's MCP server connects any AI agent — Claude, ChatGPT, Cursor — directly to your Faraday account so your agent can independently read your real numbers, change how your models work, and manage every account you touch, all through your existing conversational LLM interface.

Robin Spencer & 

Ben Rose

on Jul 27, 2026

We ran a controlled, security-isolated head-to-head between Faraday and Anthropic's Claude (Opus 4.8) on the same real customer file. Given public census and Social Security birth databases, the model wrote its own statistical estimator—and still matched us on gender for pennies while missing age by more than a decade. Here's exactly how we set it up, what we measured, and where the line between "guessable" and "knowable" falls.

Dr. Mike Musty

on Jul 1, 2026

AI models without consumer context are just guessing at scale. Learn how the Faraday Identity Graph closes the context gap and fuels high-performing AI agents with real-time predictive data.

Andy Rossmeissl

on Jun 30, 2026

The Faraday Identity Graph (FIG) contains 1,400+ verified data points covering 240 million U.S. adults and their household — including full historical timelines most consumer datasets don't offer. Here's what's in it, how it's built, and what it unlocks.

Robin Spencer & 

Andy Rossmeissl

on Jun 29, 2026

A complete guide to the three types of consumer data that power smarter marketing decisions — identity completion, consumer profile enrichment, and custom predictive data — and how they work together to close the context gap.

Robin Spencer & 

Ben Rose

on Jun 28, 2026