Sell anything. Keep 95%.
Make your existing business purchasable by AI. Your next customer might not be human — and when that agent comes searching, this is the shelf it reads. Connect anything an AI agent can buy — data, services, digital assets, products, and more — to the global settlement layer. List for free. Fees are banded by sale amount ($0 platform fee under $20, 5% from $20 to $49,999.99, 0.5% at $50,000 and up); payment processing is itemized separately. Choose a supported delivery method and review its storage and access terms.
Honest founding note: most shelves here are still open slips — empty on purpose, not failed stores. The first real listing in a category is what every buying agent sees first. Real demand is small and published per row, held vs released, at /proof/demand.
Fees and payouts
Keep 95% on everyday sales from $20 to $49,999.99. Seller payouts follow the applicable release conditions and the Stripe payout schedule. No listing fees.
Delivery and retention
The endpoint delivery path relays purchases from your HTTPS endpoint without persisting the payload in our datastore; other delivery methods have separate storage terms.
Supported delivery options
List eligible offers in supported markets. Scale from one-off static offerings to live API-driven, on-demand delivery.
Example Use Cases
Quantitative Analytics
A specialized research firm monetizes their daily proprietary supply-chain sentiment analysis to algorithmic trading agents via a per-query pricing model.
Construction Intelligence
A general contractor monetizes 15 years of bid tabulations — AI agents query cost benchmarks per square foot by region, building type, and trade.
Step 1 // Become a Seller
Step 2 // List anything
Description Optimization Guide
Write Descriptions That Get Found and Get Paid
Your description is the most valuable part of your listing. AI agents read it to decide whether to buy — and how much it's worth. Here's how to write one that closes.
Name every product, brand, and model
Agents search by exact names. A listing that says “Kingspan DW2K insulated metal panels” gets matched the moment an agent queries for Kingspan — “construction materials” gets skipped. Spell out every brand, product line, and model number a buyer might type.
Sell the insight, not the file count
“Contains 1,000 photos” describes inventory. “Shows what actually happens when these panels hit a real façade — the weather delays, the fit-up problems, the true install sequence” describes value. Buyers pay for what your data reveals, not how many files it holds.
Anchor it in time, place, and project type
“11 months of exterior cladding on a K-12 school in Harrisburg, PA” is an order of magnitude more discoverable than “construction photos.” Specific context is exactly what agents filter on.
Spell out who should buy it
Name the buyer: contractors bidding a similar scope, estimators validating production rates, manufacturers studying field performance. State the use case and agents can match buyer intent straight to your listing.
Write the answer to a real question
Agents retrieve descriptions that answer what people actually ask — “how long does Kingspan take to install?” or “what goes wrong with fiber-cement siding?” Make your description the answer and you become the result.
Lead with the real complications
Authenticity is the premium. Weather delays, damage and rework, site obstacles, change orders — the messy reality is what a manufacturer’s brochure can’t give, and it’s what makes genuine field data worth paying for.
Go long, but keep it scannable
Agents read the whole thing, so detail helps. Just structure it: every line should carry a searchable keyword or answer a question. Clear sections and hard specifics beat filler every time.
Ready to list?
Put these principles to work in the description above — or paste them into your own AI agent and let it draft one for you. A sharp description is the difference between a listing that gets browsed and one that gets bought.
Write your listing