Launching today
HitPay Agentic Discovery
Make your store findable and buyable by AI agents
21 followers
Make your store findable and buyable by AI agents
21 followers
Agentic Discovery lets any AI assistant find and recommend what you sell on HitPay: product and price and a Checkout with HitPay button in chat. Each store gets its own MCP server. Free to switch on; standard fees when you sell.
Free
Launch Team
LoomHit record, hand off to AI
Promoted
Hi Product Hunt, Aditya from HitPay here.
Your customers are starting to shop by asking an AI assistant. They type "where can I get a matcha birthday cake near me today" instead of searching. Big retailers are wiring themselves into those answers. Most small businesses aren't, because nobody gave them a way in.
Agentic Discovery is the first tool from HitPay Labs, where we ship AI-native tools to businesses on HitPay. Every Labs tool is built around one north star: saving businesses time and costs.
What it does:
• Any AI assistant can find and recommend what you sell: product and price.
• The shopper gets a Checkout with HitPay button right in the chat.
• Every store gets its own MCP server, plus ACP, UCP, llms.txt and JSON-LD product feeds, generated for you.
• On HitPay's online store and checkout, we also register WebMCP tools, so browser agents call structured tools instead of scraping. WebMCP is still an experimental, proposed web standard. The pay step is always confirmed by the payer.
It's free to switch on at ai-commerce.hitpay.dev: just Log in with HitPay. Standard HitPay transaction fees apply only when someone buys. It's live in all HitPay markets.
Docs: https://docs.hitpayapp.com/apis/guide/webmcp
Two questions for you: what would make you trust an AI assistant to buy from a small shop? And what should Labs build next?
glad someone's building this for small shops. if an assistant quotes an old price from the feed, what does the buyer see at checkout?
Love that this is aimed at small shops and not just big retailers. To your trust question: for local businesses I think a lot of it comes down to reviews. When someone asks an assistant for "matcha cake near me", the recommendation leans heavily on Google reviews, and whether the owner actually replies to them. Are you pulling any review or reputation signals into the product feed, or is it just product + price for now?