@OpenGradient Been thinking about what happens between a client signing a payment payload and the inference actually starting, mostly because the gap itself isn’t described anywhere only the steps before and after it.
The flow names every component clearly — Permit2 allowance 402 challenge X-PAYMENT header facilitator verification, then execution.
What it doesn’t name is how long verification itself typically takes before a TEE node picks up the request, or whether that duration is predictable enough for someone building on top of it to plan around.
A few seconds probably doesn’t matter for most use cases. It would matter quite a bit for something time-sensitive reacting to a model output in real time, where the difference between instant and verified in a moment changes what’s actually safe to build.
I don’t think this gap is hidden deliberately. It’s more likely just the kind of detail that doesn’t make it into a high-level architecture description until someone building against it in production needs to know it specifically.
#OPG $OPG
opengradient.ai
The flow names every component clearly — Permit2 allowance 402 challenge X-PAYMENT header facilitator verification, then execution.
What it doesn’t name is how long verification itself typically takes before a TEE node picks up the request, or whether that duration is predictable enough for someone building on top of it to plan around.
A few seconds probably doesn’t matter for most use cases. It would matter quite a bit for something time-sensitive reacting to a model output in real time, where the difference between instant and verified in a moment changes what’s actually safe to build.
I don’t think this gap is hidden deliberately. It’s more likely just the kind of detail that doesn’t make it into a high-level architecture description until someone building against it in production needs to know it specifically.
#OPG $OPG
opengradient.ai