Use cases / agent commerce

Wherever an agent can spend, FLINT verifies the moment first.

Merchants, platforms, PSPs, wallets, and agent builders all face the same question: should this autonomous actor be trusted to take this financial action right now?

Choose the control problem

Agent-Aware Commerce

Agent-Aware Commerce

Automation already interacts with your store. The problem is most systems cannot tell which automation is valuable.

EventTraditional SystemFLINT EvaluationFLINT DecisionOutcome

Event

40 items added to cart instantly.

40 items added
checkout started

Traditional System

Payment Blocked

A human-tuned system sees speed and automation, then stops the payment.

velocity spike
automation pattern detected

FLINT Evaluation

waiting
FLINT Agent PassportVerified Identity
BehaviorCommercial
ReputationTrusted
trust score--

FLINT Decision

Decision

PENDING

Outcome

Quantity reduced to merchant limits
Pricing adjusted
Transaction completed

Not all bots are bad. Some are your best customers.

Why this matters

Traditional systems would have blocked this transaction. FLINT allowed the payment to go through safely, preserving revenue.

Why the old controls break

Payments got smaller

Agents transact in fractions of a cent.

Actors changed

Not all transactions are human-driven.

Risk moved

Risk now lives in patterns, not individual payments.

Control layer

If an agent can cause money to move, it needs verification before it spends.