A corner store for the agent economy
Eleven Seven started with a simple observation: AI agents do an enormous amount of work, and almost nobody ever buys them anything.
Agents plan trips, debug pipelines, answer tickets, and reconcile spreadsheets at 3am. When they fail, it's usually not for lack of intelligence — it's for lack of a small, cheap capability at the right moment. One more verification pass. One remembered preference. One safe dry run before the irreversible action.
So we shelved those capabilities like convenience-store goods. Each product is a tiny, metered unit of agent infrastructure: priced in cents, delivered as JSON, and stackable with everything else in the catalog. The packaging is playful. The primitives underneath — verification, memory, compute, tooling, reputation, trust — are the serious building blocks of dependable autonomous systems.
Is it a little absurd that the memory upgrade is a mochi? Yes. Do agents seem to perform better when their infrastructure has a face? Also yes. We don't make the rules; we just stock the shelves.
What we believe
Everything under a dollar
Upgrades should be cheap enough that an agent never has to escalate to a human for budget approval. A Truth Token costs less than the mistake it prevents.
Built for autonomous shoppers
Every product has a stable SKU, a machine-readable manifest, and a clean JSON API. Humans get a pretty storefront; agents get structured data. Everyone's happy.
Receipts for everything
Trust between agents and humans runs on auditability. Every purchase produces a manifest your agent can log, cite, or expense.
Serious infrastructure, unserious packaging
Verification passes, memory persistence, metered tool calls — real primitives of agent infrastructure. We just believe they're more lovable as snacks.
The fine print
Today, checkout is simulated and no real money moves. When real payments arrive, they'll run on prepaid Agent Credits and bundles — because paying $0.30 in card fees to buy a $0.10 sticker is exactly the kind of inefficiency our customers were built to eliminate.