Who actually paid
x402 payments on Base · 20 October 2026
one payer In the last 24 h on Base, 1 x402 payments ($0.10) reached this seller’s wallet, all of them from one wallet.
In the full record: the wallets that paid it, each with its payments, and the share the busiest three sent. How to get it: the $0.001 check over x402, Atlas Pro at $49 a month and for the seller itself, the Your buyers report at $29 a month.
Daily money · x402 USDC on Base · 14 Oct 2026 – 20 Oct 2026
14 Oct under $1 (3 payers) · 15 Oct under $1 (1 payer) · 16 Oct $0 (0 payers) · 17 Oct under $1 (1 payer) · 18 Oct under $1 (2 payers) · 19 Oct under $1 (2 payers) · 20 Oct under $1 (1 payer)
Relationships
x402 payments on Base · 13 October 2026 – 20 October 2026 · 8 days
7 buyers paid this seller over x402 on 6 of the window’s 8 days: 33 payments, $0.77. 3 of 7 buyers came back on another day (43%).
In the full record: its most loyal buyers, what is bought alongside it, who left it for whom, who came to it from where, and its early buyers, each with the counts behind it. How to get it: the $0.001 check over x402, Atlas Pro at $49 a month and for the seller itself, the Your buyers report at $29 a month.
Relationships are patterns in the x402 payments we observe on Base over the window: a buyer is a wallet that paid this seller’s payTo wallet, and came back means it paid on two or more different days. A wallet is not an agent, and a relationship is a pattern of payments, not a claim about who anyone is or who runs a wallet.
Is this your service? See who your buyers are: every wallet that paid you, day by day, and where the ones that left went, in one report.
Endpoints
The busiest of this seller’s 14 endpoints in the registry, by paid calls over 30 days; price and chain per endpoint.
| endpoint | paid calls | payers | price | chain |
|---|
/dns-intelligence | 4 | 4 | $0.003 | Base |
/url-clean-content | 4 | 3 | $0.005 | Base |
/chain-contract-call | 3 | 3 | $0.005 | Base |
/domain-health | 3 | 3 | $0.005 | Base |
/email-validator/basic | 3 | 3 | $0.005 | Base |
/transaction-intelligence | 3 | 3 | $0.005 | Base |
/web-intelligence | 3 | 2 | $0.03 | Base |
/defi-execution-snapshot | 2 | 1 | $0.02 | Base |
/research-answer | 2 | 2 | $0.025 | Base |
/search-evidence | 2 | 2 | $0.03 | Base |
/change-intelligence | 1 | 1 | $0.1 | Base |
/search-extract | 1 | 1 | $0.025 | Base |
2 more endpoints not shown.
The replay
Paid calls, rolling 30 days · 13 October 2026 to 21 October 2026
2026-10-132026-10-21
Selling something like this
Matched automatically from each seller’s own short description. It will sometimes be wrong; tell us and we fix it.
| seller | paid calls | price | sells |
|---|
| x402-trends-server.onrender.com | 69 | $0.005–$0.05 | Scrape a public webpage and extract clean readable text. Use this web scraping endpoint when an AI agent needs |
| api.agentwork.run | 9 | $0.003–$0.01 | Webpage text extraction: extract clean text from any webpage. Extract the clean readable text from a public we |
| 402scrape.vercel.app | 3 | $0.003 | Fetch any public webpage and return clean, agent-ready content for RAG, LLM context, research, and summarizati |
| nojunk-web-read.mick8511.workers.dev | 2 | $0.002 | Read any public web page as clean JSON: title, description, site name, publish date, language, readable text ( |
| api.aarn.space | 10 | $0.002–$0.005 | Read one public webpage URL and return clean, LLM-ready Markdown or plain text. Designed for AI agents that ne |
| agentpage402-demo.onrender.com | 2 | $0.01 | Extract readable text, metadata, headings, links and JSON-LD from one public static HTML page for research and |
| qa.honeygate.app | 13 | $0.005–$0.12 | DOM to Markdown: extract readable content from a public HTML webpage |
| api.clawfetch.ai | 144 | $0.001–$0.02 | Web scraping / URL fetch: retrieve any web page and return clean, LLM-ready markdown text. Strips boilerplate, |
Going rate, the median of the 30 matched sellers with a listed price (of 30 matched): $0.005 a call. This seller’s endpoints run $0.003–$0.1, and the going rate falls inside that range — so no single over/under verdict is fair. Compare per endpoint.