Paying for an AI service is the easy part. Proving it kept its promise is harder.

One detail in Kite’s Core Concepts docs caught my eye: its SLA-contract design goes beyond recording a payment.

It describes service guarantees for latency, uptime, and error rates, with penalties or prorated refunds triggered by smart contracts.

Here’s the technical wrinkle: the docs say those metrics are measured off-chain through service telemetry.

An oracle then submits signed attestations or zk/TEE proofs so the contract can act on that data.

So the chain can automate the consequence, but it can’t independently observe whether an API was accurate or available.

The trust bottleneck moves to measurement, attestation, and dispute-resistant evidence.

For agent commerce, this matters: autonomous buyers need more than a receipt. They need a way to assess whether the service they paid for was actually delivered.

I’d like to see how these SLA mechanics work in production, especially for subjective outputs like AI-generated answers. What should count as proof of a successful service?

@KITE AI #KiteBBW $KITE