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Hypersave
Launching soon

One API key. Every kind of compute.
Picked by AI, priced to win.

LLMs, GPU pods, and CPU jobs through a single key. Our routing engine decides the cheapest, fastest, most reliable provider for every request — using performance data your agents can't see on their own. Hard spend caps and idle auto-stop, built in.

Waitlist members get early access before public launch.

Trusted providers, one integration
OpenAI Anthropic Google Together DeepInfra RunPod Lambda Vast

The right compute provider changes every hour. You shouldn't have to chase it.

Prices shift. Models update. Providers go down. Idle pods keep billing. Your agent doesn't know any of that. It calls whatever you hardcoded and hopes for the best.

Hypersave turns "which provider, which model, what limit" from a question you have to answer into a decision the platform makes for you, every request.

Four promises, not one

What you get on day one.

01 · Unified

One API key. Every kind of compute.

OpenAI-compatible endpoint for LLMs. Unified API for GPU pods and CPU jobs. One credential, one bill, one place to see what's running.

02 · Agent-native

Routing built for autonomous callers.

Your agent sends a request. We pick the provider and model that win on cost, latency, and reliability for that specific workload — using continuous benchmarking across every provider we support.

03 · Measurable

Lowest cost, highest performance — receipts on every call.

Every request comes back with what you paid, what it would have cost on each alternative provider, and why we routed it that way. The savings are on the dashboard, not in marketing copy.

04 · Capped

No surprise bills. Ever.

Server-side spend caps that actually stop. Idle GPUs that actually shut down. Anomaly alerts when an agent loops. Prepaid credits so you can never be billed for more than you've loaded.

How it works

Three steps. No glue code.

Sign up

Get one API key. Add prepaid credits. Set your spend caps.

Send requests

LLM calls, GPU jobs, CPU workloads — same key, same billing.

We route, you save

Our engine picks the best provider per request. You see the math, the savings, and every dollar in real time.

At launch

What's included.

Compute coverage

  • LLM inference across OpenAI, Anthropic, Google, Together, DeepInfra, and more
  • GPU pods across RunPod, Lambda, and Vast with unified deployment
  • CPU compute for jobs that don't need a GPU
  • Agent-native routing with per-request cost and performance data

Trust and protection

  • Server-side spend caps, idle detection, and anomaly alerts on every account
  • Prepaid credits — you can never be billed for more than you've loaded
Why agents need this

Your agent is making procurement decisions. It shouldn't have to guess.

Today, every agent hardcodes a model and a provider. Tomorrow, that choice is stale — a cheaper model launched, the provider degraded, the price changed.

Hypersave gives your agent live decision data: which provider is winning on cost right now, which is winning on latency, which had an incident in the last hour. The agent calls one endpoint. We do the benchmarking, the failover, the math.

The trust section

Your money is safe here.

Prepaid by default

You load credits. We spend against them. You can't be charged for more than you've put in.

Caps enforced server-side

Spend limits live on our servers, not in your code. Even a runaway agent can't exceed your limit.

No hidden markup

You see what each provider charges and what you pay. The math is on the dashboard.

Your data isn't training anyone's model

We don't store prompts beyond what's needed for usage attribution, and you can delete logs anytime.

FAQ

Questions, honest answers.

When does Hypersave launch?

We're opening to waitlist members first, then rolling out broader access. Join above to get in line.

How is this different from OpenRouter?

OpenRouter aggregates LLM APIs. Hypersave aggregates LLMs, GPU rental, and CPU compute under one key — with agent-native routing across all three and spend protection built in from day one.

How is this different from going direct to RunPod or OpenAI?

You get one bill instead of five. A routing engine that picks the cheapest reliable option per request instead of hardcoding one provider forever. Hard spend caps providers don't offer. Idle auto-stop on GPUs.

What does "agent-native" actually mean?

Two things. First, the API surface is designed for autonomous callers — clear error semantics, predictable rate limits, no human-only auth flows. Second, our routing engine factors in what an agent can't see on its own: live provider performance, current pricing across vendors, recent reliability data. Your agent gets the right answer without having to gather the data.

What does it cost?

Prepaid credits. You pay provider rates plus a small platform fee, fully visible on every request. No subscriptions, no minimums, no commitments.

What providers do you support?

At launch: OpenAI, Anthropic, Google, Together, and DeepInfra for LLMs. RunPod, Lambda, and Vast for GPUs. We add providers based on waitlist requests.

Is my API key portable?

Yes. Standard OpenAI-compatible interface for LLM calls. Standard REST for compute. Leave anytime, take your data with you.

Be first in line

Help shape what we build.

Waitlist members get access before public launch and direct input on the roadmap.