Infoharmoni Atlas x402Base

Sellers / world data / kair-os.trade

kair-os.trade

Screen up to 3000 characters of untrusted text for prompt injection, secret exfiltration, deceptive payments and phishing. Jev risk scores, …

unclaimed pageBase6 endpointsas of 25 October 2026

#1186of 2,527 sellers, by paid calls
10paid calls in 30 days, as the registry reports
7x402 payments on Base, 24 October 2026
$0.04USDC, x402-settled, 24 October 2026
8payers in 30 days, as the registry reports (see notes)
$0.003–$0.02price per call, across 6 endpoints
$0.08est. money at list price · rank #1455

Who actually paid

one payer In the last 24 h on Base, 7 x402 payments ($0.04) 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 · 18 Oct 2026 – 24 Oct 2026
18 Oct $0 (0 payers) · 19 Oct $0 (0 payers) · 20 Oct $0 (0 payers) · 21 Oct $0 (0 payers) · 22 Oct $0 (0 payers) · 23 Oct $0 (0 payers) · 24 Oct under $1 (1 payer)

Relationships

1 buyer paid this seller over x402 on 1 of the window’s 8 days: 7 payments, $0.04. 0 of 1 buyer came back on another day (0%).

Paid on 1 day of the window: came-back facts need 2 or more days.

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 6 endpoints in the registry, by paid calls over 30 days; price and chain per endpoint.

endpointpaid callspayerspricechain
/agent-guard/assess32$0.003Base
/base-quotes/quote22$0.01Base
/tx-diagnostic/diagnose21$0.01Base
/base-contract/inspect11$0.005Base
/base-wallet/snapshot11$0.003Base
/token-verdict/verdict11$0.02Base

The replay

One stored day so far. Movement appears from the second.

Selling something like this

Matched automatically from each seller’s own short description. It will sometimes be wrong; tell us and we fix it.

sellerpaid callspricesells
canaryguard-402.onrender.com26$0.01Deterministic prompt-injection firewall and honeypot scrubber for AI agents. Sanitizes untrusted text and bloc
wren-guard-pro.wrenonbase.workers.dev10$0.015 real scenarios from the wren-guard Pro agent-wallet attack corpus (prompt injection, encoded instructions, p
odood.com1$0.004POST a URL; get clean, LLM-ready content (Markdown/text/JSON) plus a prompt-injection risk verdict (clean | su
paysafe-agent.com8$0.01Counterparty reputation lookup for x402 payments: aggregated post-hoc reports (scam, non-delivery, prompt inje
guard.genexxis.com4$0.002Classify text an AI agent is about to read for prompt injection: verdict (safe, suspicious, malicious), score
seenly-injection-screen.vercel.app2$0.01Payment-Injection Screen by Agentropolis: send text your agent is about to act on (tool result, web page, emai
clawguard.duckdns.org:80821$0.03Static malware and prompt-injection scan of an OpenClaw / AgentSkills bundle before install. Detects credentia
api.youraitools.co170$0.001–$49Crypto sanctions screening API (OFAC). Sanctions screen for one crypto address, for agents and apps that send

Going rate, the median of the 10 matched sellers with a listed price (of 10 matched): $0.01 a call. This seller’s endpoints run $0.003–$0.02, and the going rate falls inside that range — so no single over/under verdict is fair. Compare per endpoint.

How to read these numbers