Infoharmoni Atlas x402Base

Sellers / crypto & markets / simulate.cyberwarex.com

simulate.cyberwarex.com

Decode raw EVM calldata into a named function, signature and arguments, plus security risk flags (unlimited token approval, setApprovalForAl…

unclaimed pageBase2 endpointsone of 10 hosts paid into one walletas of 20 October 2026

#296of 2,568 sellers, by paid calls
86paid calls in 30 days, as the registry reports
10payers in 30 days, as the registry reports (see notes)
$0.002–$0.02price per call, across 2 endpoints
$0.89est. money at list price · rank #549
+1%paid calls since 12 Oct 2026

Who actually paid

In the last 24 h on Base, no x402 payment reached this seller’s wallet.

Payments to 10 hosts land in this same wallet — usually one operator, sometimes a platform collecting for several. The group’s page: cyberwarex.com.

Daily money · x402 USDC on Base · 13 Oct 2026 – 19 Oct 2026 · the wallet’s, across every host paid into it
13 Oct under $1 (9 payers) · 14 Oct under $1 (8 payers) · 15 Oct under $1 (9 payers) · 16 Oct under $1 (11 payers) · 17 Oct $1 (10 payers) · 18 Oct under $1 (6 payers) · 19 Oct $2 (7 payers)

Relationships

41 buyers paid this wallet over x402 on 8 of the window’s 8 days: 671 payments, $6.58. 13 of 41 buyers came back on another day (32%).

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

endpointpaid callspayerspricechain
/decode467$0.002Base
/safe-to-sign403$0.02Base

The replay

2026-10-12: 85 paid calls (30 d)2026-10-13: 85 paid calls (30 d)2026-10-14: 85 paid calls (30 d)2026-10-15: 84 paid calls (30 d)2026-10-16: 84 paid calls (30 d)2026-10-17: 84 paid calls (30 d)2026-10-18: 84 paid calls (30 d)2026-10-19: 86 paid calls (30 d)2026-10-20: 86 paid calls (30 d)
2026-10-122026-10-20

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
agent-sign-guard-main-production.up.railway.app7$0.01Deterministic pre-sign risk screening for unsigned Base EVM transactions. Detects ERC20 transfers, token appro
presign-guard.onrender.com18$0.01–$0.03Is this transaction, approval or signature safe to sign? Check it before your AI agent or wallet signs it: pre
api.deepnets.ai1,173$0.01–$0.15Token safety analysis for a Solana mint: overall risk level, wallet-network concentration, bundle detection, m
api.solsentry.app38$0.004–$0.5Full risk assessment for an SPL token mint: risk score and level, the flags that drove it, bundle detection, t
trapcheck.dev6$0.02–$0.03Crypto token risk brief: price action, liquidity, supply dilution, and red flags, summarized in plain English.
cf-rugcheck.odemakindeezekiel5.workers.dev1$0.02Token safety scanner for Base (JSON body): 0-100 safety score, risk band, and red flags for any Base token con
mcp.dropenginehq.com51$0.001–$0.1Security audit for an EVM token: rug-pull, honeypot, and trading risk signals.
signals.edge.report34$0.001Token honeypot / security risk check before buy or approve. Input ERC20 contract + chain. Returns verdict avoi

Going rate, the median of the 12 matched sellers with a listed price (of 12 matched): $0.015 a call. This seller’s endpoints run $0.002–$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