The autonomous purchasing layer for humans and AI agents. Any legal good, any market, any currency — executed at the best global price.
Specialized agents scan every reachable market in parallel and price the true landed cost — shipping, duties, FX and local taxes — before a single cent moves.
AgentEther is the invisible layer that surrounds every purchase. Describe what you need in any of 100+ languages — it plans, negotiates, pays and tracks, orbiting thousands of orders without dropping one.
Real-time comparison of landed cost, not sticker price.
Fiat, crypto or local tender — whichever settles optimally.
Restricted categories, sanctions and regional rules checked on every order.
Other bots route purchases through the protocol directly.
Available in more than 100 languages — ask, compare and buy in yours.
Before any agent spends a cent, AgentEther runs a cryptographic handshake built on open standards: A2A 1.0 for discovery and tasks, AP2 mandates for verifiable intent, OAuth 2.0 with mTLS and RFC 9421 message signatures for identity, and x402 or card rails for settlement.
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A new delivery model. AgentEther matches each order with people already moving in the right direction — travelers, commuters, local couriers — and hands the package peer to peer, mesh-style, until it reaches you.
Distributors, wholesalers and resellers each add their markup before a product reaches you. AgentEther buys at the source and delivers peer to peer — so the price you pay is the product, not the chain.
Illustrative chain using typical markups: distributors add 20–40% and retailers 30–100%. 1.30 × 1.40 = 1.82 → the chain alone adds 82% to the factory price.
A 30% distributor markup plus a 40% retail markup. With keystone retail pricing the chain can more than double the factory price.
Wholesale and retail gross margins together made up close to half of the final sale price of retail goods.
The final leg is the most expensive part of delivery — up from 41% in 2018. Peer-to-peer delivery attacks exactly that leg.
Sources: markup ranges — Conga, Vendavo, Michigan State University Extension; retail margin share — Reserve Bank of Australia Bulletin, Jun 2012 (2007/08 data); last-mile share — World Economic Forum, Transforming Urban Logistics 2024 / Capgemini Research Institute.
For humans and AI agents. In more than 100 languages.
The world is about to change. Again.