The calculation, the terms, the evidence.
- Bounded, locked protection pricing at the point of intent.
- A clean audit trail that stays legible after the payment decision.
- Operator-grade reporting your finance team can read without a call.
Your customer sees one number. You keep the integration familiar. Slice quotes bounded protection, locks the terms, and delivers the evidence trail your finance team expects.
When the asset keeps moving, the spend decision feels open-ended. Checkout protection closes the loop: a fixed number, a locked quote, and a confirmation that matches what the customer agreed to.
The user-side problem is simple: nobody wants to spend now and regret it later. The product response is equally simple. Surface a clear protection choice, lock the terms at checkout, and keep the confirmation consistent with what was accepted.
The walkthrough below is one strong interaction inside a calmer story. It's not a sandbox. It's the decision surface your customer sees.
The demo should be useful to product and engineering without becoming the implementation manual. The public shape is quote, customer choice, confirmation. The private mechanics stay private.
Slice belongs behind your checkout, not in front of your customer. Your backend asks for a protected price, your product decides how to present it, and your payment flow remains the source of truth for consent and premium collection.
That keeps the pilot conversation concrete without publishing the parts that do not belong on a marketing page: no pricing model, exchange routing, or credential mechanics.
Your service sends the asset, amount, direction, and protection window. Slice returns a locked premium and expiry.
Your wallet keeps the customer moment: accept protection, decline it, or let the quote expire cleanly.
Once your flow has collected the premium, your backend confirms the accepted quote and stores the protected transaction reference.
The page should make it obvious what Slice does, and what you keep.
A wallet does not need to buy the whole thesis upfront. The first test should be a measured opt-in module with a defined fee, duration, asset scope, and outcome trail.
How many eligible users choose protection when it is shown at the decision point.
Whether protected checkout changes completion against the same flow without protection.
Whether users come back to the protected flow after the first transaction.
Whether the option changes basket size or asset mix in a controlled pilot.
Whether users understand the premium, duration, cap, and possible outcomes.
The questions that reach customer support, compliance, or finance before scale-up.
Public confidence comes from bounded product behaviour and clear outcomes. Not from private economics.
One number at checkout. No drift between what's agreed and what's settled.
Every decision and every execution lands in a trail you can read after the fact.
Premiums move through your rails. Your treasury keeps signing authority.
Share the surface you'd protect first. We'll come back with a pricing envelope and a realistic timeline.