Compatify solves one problem: "Does this accessory work with that device?"
Every day, millions of people buy phone chargers, printer cartridges, and PC components that don't work with their devices. The returns, support tickets, and lost time add up to billions of dollars of friction in consumer electronics e-commerce.
As AI agents begin to make autonomous purchasing decisions — via Stripe Link CLI, x402, ACP, and Shopify's Hermes agent framework — this problem becomes even more critical. An agent that buys the wrong charger doesn't return it. It just causes a support ticket.
Compatibility is hard because it's fragmented. Certification data lives in disparate sources, manufacturer spec sheets are buried in PDFs, and compatibility claims vary widely in accuracy.
Compatify normalizes all of this into a single API. We ingest from official certification sources, manufacturer specifications, and verified data sources — then run every data point through a confidence scoring pipeline that rates each compatibility claim from 0.0 to 1.0.
Every Compatify response includes a confidence field between 0.0 and 1.0:
ACP checkout workflows require confidence > 0.70 before proceeding. We recommend the same threshold for any autonomous agent purchase decision.