risk data for machine payments
Wallet
?
0x879933456986877f5d87e6ee24d1e0ebd264f527
Base · role: recipient · not enough data
Buyer-side scoring — something no other public x402 service offers. It answers the seller's question: should I serve this agent, and how large a channel should I open for it?
Payments received
12
3 payers
Received
$0.21
First seen
4d ago
A score needs more than a single payment to mean anything.
Recent activity
| When | Direction | Counterparty | Amount | Facilitator | Transaction |
|---|---|---|---|---|---|
| 2d ago | in | 0x55abba9f…6c4a | $0.00500 | not in registry | 0xb3ed…377f |
| 2d ago | in | 0x55abba9f…6c4a | $0.03 | not in registry | 0x9bac…b45b |
| 2d ago | in | 0x55abba9f…6c4a | $0.03 | not in registry | 0xef65…1367 |
| 2d ago | in | 0x55abba9f…6c4a | $0.02 | not in registry | 0x93b8…78d6 |
| 2d ago | in | 0x55abba9f…6c4a | $0.02 | not in registry | 0x7abf…2b80 |
| 2d ago | in | 0x55abba9f…6c4a | $0.02 | not in registry | 0x5328…3e36 |
| 2d ago | in | 0x55abba9f…6c4a | $0.01 | not in registry | 0x9e4f…df0f |
| 2d ago | in | 0x55abba9f…6c4a | $0.01 | not in registry | 0xafab…fd30 |
| 2d ago | in | 0x55abba9f…6c4a | $0.00500 | not in registry | 0xf8f0…2684 |
| 3d ago | in | 0xc9c7b38c…1670 | $0.02 | not in registry | 0x8688…6c06 |
| 4d ago | in | 0xdb00f642…1fac | $0.02 | not in registry | 0xb0b7…5fa9 |
| 4d ago | in | 0xdb00f642…1fac | $0.02 | not in registry | 0xd45c…0242 |
Reference
| Address | 0x879933456986877f5d87e6ee24d1e0ebd264f527 |
| Network | Base eip155:8453 |
| Sanctions screening | clear |
| Machine access | /v1/wallet · /full · external explorer |
Next
Market overview →
Payments, median ticket, who pays whom, who settles.
Endpoints →
Scores, findings and the full observation history per resource.
Facilitators →
Who actually settles — including those in no public registry.
API →
Verdict before payment, seller and wallet scores, market aggregates.
We hold no fundsNo custody, no escrow, no facilitator role. Not one payment passes through us.
Same input, same answerScoring is deterministic. No model, no learning on the fly.
Objections welcomeWe show owners what drags a score down. How to dispute
We say what we can't seeSome payments move off-chain, and we say so instead of pretending otherwise.