ModelAssay sits in front of your OpenAI, Anthropic, and OpenRouter calls and continuously finds cheaper ways to deliver the same quality — then proves the savings before you're billed. You only pay a share of what we prove.
Same product, your numbers. ModelAssay groups your traffic into classes, proposes a cheaper route only when it can prove quality holds, and you approve what goes live.
Keep your existing OpenAI or Anthropic client, your keys, your providers. ModelAssay is a drop-in proxy — you're in shadow mode from the first request, and nothing about your live traffic changes until you say so.
from openai import OpenAI client = OpenAI( # the only change ↓ base_url="https://proxy.modelassay.com/v1", api_key=MODELASSAY_KEY, )
Point your existing SDK at a new base_url. Keep your keys, your code, your providers — OpenAI, Anthropic, OpenRouter, and the open-source models it serves.
Routes each call to the cheapest model that holds quality, serves repeat work from cache, and batches what can wait — measured against your real traffic.
Every route-down is validated by statistically sampling live traffic, and auto-reverts the moment quality drops below the bar you set. You approve what goes active.
We measure the real, proven delta and bill a share of it. No savings, no charge — the number on your invoice is the number we can defend.
You pay a share of the savings we verify — measured against your locked baseline, quality-checked on live traffic. If we don't save you money, you don't pay. That's the whole deal, and it's why the name is an assay: a test of true value.