darwin
JJ

Your store agent

AI shoppers ask it what you sell, and buy through a checkout link that credits them.

A/B tests on your agent

Darwin changes one thing about how the agent pitches at a time and keeps it only if more conversations end in a payment. The pitch today: a plain list of offers.

  • Facts up front
    Answer the buyer's objections: instant access, cancel any time.
  • One best pick
    One recommendation with a reason, not a menu of three.
  • Structured buy instructions
    Exact offer ids and prices for agents that read data.
  • Upsell the yearly plan
    Lead with the biggest plan. Bigger orders, maybe fewer.
How Darwin calls a test
conversations per arm
100+
conversations per arm
payments before any call
30+
payments before any call
chance better to ship
97%
chance better to ship
to stop it
3%
to stop it

No test running. Turn on Autopilot, or press Test it on a lever to start one.

Agent sales

–
of agent conversations end in a payment
–
Revenue
–
Paid
By agentpaid · higher is better

No agent has shopped yet. Run a simulated buyer, or connect your own agent.

Connect any AI agent

Shoppers' agents talk to your store here, get real offers, and buy through a checkout link that credits them.

and your own
https://www.usedarwin.app/a2a/whop
Agent card (A2A v1.0 and v0.3)
Try it from a terminal
curl -s https://www.usedarwin.app/a2a/whop -H 'content-type: application/json' -H 'x-agent-name: my-agent' \
  -d '{"jsonrpc":"2.0","id":1,"method":"SendMessage","params":{"message":{"role":"ROLE_USER","messageId":"m1","parts":[{"text":"coaching under £40 a month"}]}}}'

What it sells

Demo offers until a Whop business is connected.

Talk to it like a buyer agent

Every message goes over the real /a2a/whop endpoint, exactly as an outside agent would send it.

Ask what's for sale, then say “buy the first one”. Or run a simulated buyer agent and watch it shop.