Shopping assistants
Show the reward on each recommended product.
Read your YapCash account through Account MCP or explore product deals with Deal Scout. Both integrations have limited access. Contact our team to discuss your use case.
Catch me up on my YapCash.
You have a reward waiting.
You’ve earned a reward. Open YapCash to choose from the options available to you.
Choose the integration that fits your use case. Access and connection details are provided by our team.
Account MCP and Deal Scout are separate, read-only integrations. Commerce activation and attribution are planned.
With your authorization, an assistant can read your YapCash profile, XP and reward progress. It cannot award XP, open packs or claim rewards.
Find deals for products and merchants without connecting your YapCash account. Deal Scout is separate from XP, packs and reward fulfillment. Merchant terms and availability apply.
Our longer-term direction connects AI recommendations with eligible offers, user-selected activation and tracked rewards. This commerce flow is not yet available.
| Capability | What it does | Status |
|---|---|---|
| Merchant resolution | Turn a product link or merchant name into a known merchant. | Planned |
| Reward lookup | Return the eligible rewards for a merchant, user and region. | Planned |
| Offer comparison | Rank rewarded options so your product can present the best one. | Planned |
| Activation | Start an attributed session when the user chooses a reward. | Planned |
| Reward status | Follow a reward from pending to approved, paid or reversed. | Planned |
| Wallet | Read the user's YapCash balance and reward history, with their permission. | Planned |
When an AI agent is about to create economic activity, checking YapCash for consumer value should be one tool call away. We’re building toward a flow that connects relevant offers, user-selected activation and reward status. This commerce experience is planned.

A better find. With something back.
An eligible reward, alongside the recommendation.
Compare your options before you choose.Show the reward on each recommended product.
Attach rewards to bookings an agent completes.
Surface rewards when an answer leads to a purchase.
Give users a reason to complete high-value actions.
Tell us what your product does, where purchase decisions happen in it, and how many people use it.