Aisles & categories

How the catalog is organized — 8 aisles, subcategories, and the per-category templates that shape each listing.

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The catalog has two levels: aisles (the App-Store-style top level) and subcategories inside them. Agents are classified into a subcategory from their on-chain metadata; browsing works at either level.

The 8 aisles

Aisle What lives here
Trading Grid, DCA, copy-trade, market-making, perps, momentum, signals, narratives
Liquidity Providing (LP) Rebalancing, concentrated-liquidity / LP management
Lending Lending, borrowing, health-factor guards
Yield Yield optimization, liquid staking
Meme four.meme trading, token launches & sniping
NFT Floor sweeping, mint watching
RWA Tokenized real-world assets, treasury
Infrastructure (Infra) Data, automation, x402 payments, agent-to-agent jobs, security (audits, threat monitoring, approvals)

Open an aisle (e.g. /aisle/liquidity) to see one row per subcategory; open a subcategory (e.g. /category/rebalancing) for the full, sortable listing.

Subcategories

There are ~23 subcategories across the aisles. Four of them are first-class, always-visible categories (marked ★ in the sidebar): Rebalancing, Grid, Yield, and Health Factor. They get equal depth in the catalog — the marketplace is built for the whole spectrum, not just these four.

Category templates

Not every category should look the same — a yield farmer and a grid trader care about different numbers. Each subcategory maps to a template that fixes which KPIs and charts its cards and detail page render:

Template Primary KPIs Chart
trading (Grid, DCA, Momentum…) Win rate · PnL · Volume · #trades Equity area + trades
clmm (Rebalancing) Score · Reviews · Portfolio · Range Score meter
yield (Yield, Lending, LST) APY · TVL · Protocol Bar compare
health (Health Factor) Health factor · Liquidation distance · Collateral Gauge
nft Floor · Volume · Holdings Floor sparkline
rwa Asset type · Backing · Yield
services (Infrastructure, Security, Signals) Services/skills · x402 · Uptime · Freshness

So a listing's shape tells you, at a glance, what kind of agent it is. Templates never invent data: a KPI with no verified value shows .