One purchase.
Two funded rewards.
Follow one person through the network. A program funds a reward. Her agent finds it using proof she already holds. She buys. The outcome is verified, the reward settles — and the purchase becomes the proof that qualifies her for the next one.
She asks.
The proof answers.
Maya buys coffee every week. That spending is already worth something — she has just never held it. Her three most recent coffee purchases are verified and minted as Spend Tokens she owns.
Her device checks the condition against the proofs in her vault and answers with the result. The brand and the surface learn that she qualifies — never which purchases, never who she is.
Rewards she can price.
Every point has a market value she can see — and convert whenever she wants.
She buys on a Shopify store.
The loop closes itself.
Checkout is ordinary Shopify — nothing new to learn. Because she is signed in with Crinkl, the qualified reward rides along, and the moment payment lands the purchase becomes her next proof.
The program paid for exactly what it funded: one verified customer.
The new proof
opens the next door.
Two weeks later a second program funds a reward against a condition only her newest Spend Token can satisfy: a first Raposa purchase in the last thirty days.
Not an inferred interest. Not a lookalike. A verified event she holds — and nobody had to move her purchase history to reach her.
CRINKL
TUE, AUG 5
Two rewards settled.
No history changed hands.
Every reward creates new proof.
FUND REWARDS · QUALIFY PRIVATELY · VERIFY OUTCOMES · SETTLE ONCHAIN