Why zkML? Because @PayPal will soon power payments inside @OpenAI’s ChatGPT — making it the first wallet to turn conversations with 700M+ weekly users into direct purchases starting next year.
AI can now shop for you.
But in agentic commerce, who verifies that each payment actually goes where it should?

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Agentic transactions change everything.
It’s no longer just “buyer vs seller” — now there’s a model in the middle making decisions.
Fraud risk becomes bidirectional: the AI could be tricked, or the merchant could be fake.
Closed-loop wallets like PayPal rely on verified identities, but verification ≠ verifiability.
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zkML introduces that missing proof layer:
- AI agents can produce zk proofs showing a transaction followed the declared logic.
- Both merchant and agent behavior can be audited cryptographically.
- No exposure of transaction details or model internals.
zkML turns two-way trust into two-way proof.
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Imagine commerce where:
✅Every AI-initiated payment includes a verifiable execution receipt.
✅Merchants can prove authenticity without sharing backend data.
✅Regulators can verify compliance without central intermediaries.
zkML makes agentic commerce self-auditing.
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AI payments are coming fast — but automation can’t scale without verification.
zkML turns intelligent transactions into verifiable ones, with logic you can trust and outcomes you can prove.
That’s what @PolyhedraZK is building: zkML for a world where every transaction carries its own proof.
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