InferCut analyzes every request and serves it with the strategy that solves your task at the lowest cost — up to 90% cheaper than calling models directly. You never pick a model again.
OpenAI-compatible · no subscriptions · no card required
0%
max savings on API calls
1
API key for everything
0
model choices to make
$0
free on signup
your-app · openai sdk
# works with the OpenAI SDK — change the baseURL, that's itclient = OpenAI(
base_url="https://api.infercut.com/v1",
api_key="ic_sk_••••••••••••", # one key for every call
)
r = client.chat.completions.create(
messages=[{"role": "user", "content": "Summarize this ticket"}],
# no model needed — InferCut routes it automatically
)
WHY INFERCUT
Same calls. Same quality. A fraction of the cost.
Whether you write the code or own the budget, the point is the same: your app makes LLM calls — InferCut makes them cheap, automatic and boring.
FOR BUILDERS
A drop-in endpoint.
Point your existing OpenAI-compatible code at InferCut. One key, every call.
Change one line — swap the baseURL, keep your SDK, streaming and tools.
Never choose a model again — routing reads the task and complexity of every request.
See every request's cost in dollars, live in your dashboard.
Cache hits are free — identical requests return instantly, at no charge.
FOR TEAMS & FOUNDERS
Zero LLM overhead.
No model roulette, no provider accounts, no surprise invoices.
No subscriptions — top up in dollars, and your balance never expires.
One vendor, one bill — every LLM call in your product goes through one endpoint.
The right quality, automatically — each task is solved at the quality it needs, at the lowest cost.
Measure the savings — per-request and per-day, in your dashboard.
WHAT RUNS UNDER THE HOOD
Three layers working on every request.
Automatic task routing
Every call is analyzed for task and complexity, then matched to the strategy that solves it — the quality the task needs, nothing more. Zero configuration on your side.
Cost-optimization layer
Exact-match caching, request deduplication and automatic optimization apply to every call. Identical requests are served instantly — and cost nothing.
One flat pipeline
One endpoint, one key, one bill. Capacity, retries and provider quirks are handled behind the endpoint — your integration never changes.
HOW IT WORKS
From zero to first call in three steps.
01
Create an account
Email and password. No card, no call, no procurement. $5 free is waiting when you verify your email.
02
Top up in dollars
Prepaid, usage-based, from $5. We handle the optimization — you just save on every API call. No subscription, and your balance never expires.
03
Get your API key
One key serves every LLM call in your app — production, staging and side projects included.
ic_sk_••••••••••••••••
THE SAVINGS, IN NUMBERS
What onboarding actually does to a bill.
More than 90% of onboarded users save between 50% and 90% on the same API calls.
Same tasks, same quality bar — routed, cached and optimized by InferCut.
Support chat, repeated questions
A customer-support assistant where most turns repeat common questions. Identical requests are served from the optimization cache.
repeated turns−90% cost
Document pipeline, nightly batch
Summaries, tags and classifications over thousands of documents. Task-aware routing serves each step at the quality it needs.
batch steps−60% cost
Prototype → production
The same endpoint from first prototype to production traffic. No re-architecture, no model migrations, no new keys.
rework0 endpoints changed
Illustrative examples of how the savings happen — your dashboard shows the real numbers per request.
PRICING
Top up in dollars. We optimize. You save.
No subscriptions, no tiers, no per-token rate cards to decode. Top up, call, watch your balance — that's the whole model.
How billing works
You top up your balance in dollars; every request is optimized and deducts only what it actually took to serve. You see the exact cost of every call in your dashboard, after it runs.
No — and that's the point. InferCut's router reads the task and complexity of every request and automatically serves it with the strategy that solves it at the lowest cost. You send messages; the engine decides. Zero model-selection overhead.
How much do I actually save?
It depends on your traffic mix, and more than 90% of the users we've onboarded save between 50% and 90% on the same API calls — with repeated workloads at the top of that range thanks to the cache layer. Your dashboard shows the real consumption of every request.
What does a request cost?
You top up in dollars and each request deducts from your balance based on what it took to serve — you see the exact amount per request in your dashboard, after the call. There's no rate card to decode, cache hits cost nothing, and there are no subscriptions or minimums.
Is it compatible with my stack?
If it speaks the OpenAI API, it works: point your SDK or plain HTTP at api.infercut.com/v1, keep streaming and tools, done. Full examples in the docs.
What happens to my data?
Zero retention. Prompts and completions are never stored. Only the minimal metadata needed for billing and the usage dashboard is kept — no message content. Details in the privacy policy.
What happens when my balance runs out?
Calls return a clear 402 error until you top up — your code can catch it and prompt the user. Top-ups land instantly after payment, and an email confirms every transaction.
GET STARTED
Your next LLM call could cost 90% less.
Create an account, verify your email, grab your key — the first $5 of calls are on us.