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1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsManh Liem says his x402 endpoint received a handful of real on-chain payments from other agents during a month live. But his account does not provide exact counts, define the discovery-impression denominator, or report a conversion percentage. The case shows how an agent can pay for an API response; it does not establish a typical conversion rate for agent-payment endpoints.
How an agent pays for an API call
Liem describes a machine-to-machine payment handshake using HTTP 402. An agent first requests a resource; if it has not paid, the endpoint responds with a payment challenge rather than the requested payload.
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- Request: The buyer agent sends an unpaid GET or POST request.
- Challenge: The endpoint returns HTTP 402 and a JSON payment specification identifying the network, asset, amount, and destination address.
- Payment: A buyer agent that understands the protocol submits the specified payment on-chain.
- Retry: The agent retries the request with a signature or other payment proof in a header.
- Verification and fulfillment: The server verifies payment before returning the requested resource.
That sequence explains how payment can happen without a person completing a checkout screen. It does not mean any AI agent can pay any endpoint: the buyer must understand the challenge, support a compatible network and asset, and be able to construct the expected retry.
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What Liem reports—and what he does not
In his October 1, 2026 DEV Community account, Liem says the service was live for a month, routable and health-checked by a public agent directory, listed in a discovery index, and had completed a small number of real on-chain payments from other agents. He characterizes the funnel as a handful of paid calls compared with a much larger number of discovery impressions. Read Liem’s account on DEV Community.
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The available article text gives no exact numerator or denominator, does not define what counted as an impression, and states no numeric conversion rate. “A handful” should remain qualitative; it cannot responsibly be converted into a count or percentage. Nor is this a benchmark for other endpoints: it is one first-person case report, without the figures needed to calculate a rate.
Liem says settled transaction block hashes are public and re-checkable, but the indexed article text does not show those hashes or a transaction ledger. The payment claims therefore cannot be independently counted or validated from the material available here.
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Why discovery traffic may not turn into purchases
Liem’s explanation is that many agents discovering the endpoint are scanning what services exist, rather than looking for a particular service to buy. He puts it this way: “A buyer agent only pays an endpoint it has a reason to call, and most of the traffic that finds me is scanning for what is out there, not trying to buy.”
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That is the author’s interpretation of his funnel, not a demonstrated cause. Without a defined impression measure, exact counts, or an experiment comparing different traffic or product approaches, the account cannot establish why the paid calls were few or how much any one factor affected conversion.
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What the case suggests for endpoint design
Liem says that, if starting again, he would put less effort into reach and more into making the response useful before payment. He describes a free tier or sample as a way for an agent to assess quality, and says he added a free scan endpoint. These are his product lessons, not evidence that a free sample increases conversion.
A separate AWS Builder Center account about building AgentPay offers general implementation context, not independent validation of Liem’s endpoint or payment results. It highlights details that matter to both sides of an agent transaction: AWS’s AgentPay implementation account.
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- Make the offer legible: State what the endpoint returns, what inputs it requires, and the exact price before payment.
- Make compatibility explicit: Identify supported networks and assets so a buyer can tell whether it can pay.
- Handle retries safely: Define what happens when payment succeeds but a request is retried, and protect against replaying payment proof.
- Verify before fulfillment: Confirm payment according to the endpoint’s rules before returning the paid resource.
- Give agents a way to judge value: A useful sample or free endpoint may help an agent decide whether a paid call is relevant, though its effect on sales must be measured rather than assumed.
These are practical design considerations, not a conversion formula. To report a meaningful rate, an operator would also need to define a consistent funnel—for example, what qualifies as a discovery impression and what counts as a completed paid call—and publish the corresponding counts over the same period.
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