Stale by the time it arrives
Daily batch updates make agents recommend products that have changed price or vanished from stock.
Get live price, exact variants, stock and shipping back as one answer your agent can act on.
intent
“waterproof trail shoes, size 10, under $140”
{
"match": "Trail Runner X",
"variant": "size 10 / moss",
"price": "$119.00",
"landed_cost": "$129.00",
"in_stock": true,
"ships_in": "2 days"
}The hard truth
Daily batch updates make agents recommend products that have changed price or vanished from stock.
Headless scraping burns time and tokens before an agent can answer a simple shopping request.
People ask for outcomes. Catalog APIs expect exact categories, filters and SKU-level knowledge.
The discovery layer
A continuously updated index between the agent and the transaction layer.
Merchants broadcast price, stock and variant changes as they happen.
Semantic search resolves natural-language intent against the live product graph.
The agent receives landed cost and a checkout-ready handoff over REST or MCP, in the form a Personal Agent Protocol (PAP) session expects.
Built to fit the stack
< 50ms
Target query latency
Live
Price and stock signals
Zero
Required schema mapping
The team
Built by people who previously worked at Google and Amazon.
Years spent inside large-scale commerce and infrastructure systems. Now spent on the layer agents are missing.
Private preview