Latency stacks up
Plan, call a tool, reflect, retry. Each hop adds delay, and users abandon agents that feel like they are thinking in slow motion.
← All solutionsAgents that think fast.
Solutions · AI Agents
Agents that think fast.
And act faster.
Every agent step is an inference call. HyperAI makes each one instant, so your agents plan, call tools and finish the job before users notice they started.
Free to start · No card required · Live in minutes
µs
routing overhead by design
1 API
for reasoning, chat, code and embeddings
2×
the free allowance of typical platforms
5-day
billing cycles that track real usage
Every extra millisecond compounds.
An agent that takes twenty steps pays the latency tax twenty times. Slow inference turns a clever agent into a spinning wheel, and unpredictable bills turn a promising pilot into a budget meeting.
Runaway loops, runaway costs
One misbehaving agent can burn through a month of budget overnight when you have no per-key limits or live usage visibility.
One model is never enough
Great agents route between fast models for chatter and deep reasoners for hard calls. Juggling separate integrations for each slows every release.
Capabilities
Built for the agentic loop
Everything an agent needs to reason, act and stay within guardrails — through a single endpoint.
Instant step latency
Edge routing keeps every hop of your agent loop tight, so twenty-step workflows still feel conversational.
Mix models per step
Send planning to a reasoning model and quick tool calls to a lightweight one. Switch with a single parameter.
Tool-calling ready
Structured outputs and function calling that agents can rely on, so actions land in your systems cleanly.
Per-key spend controls
Give every agent its own key and budget ceiling. A runaway loop hits a wall, not your invoice.
Step-level observability
Trace tokens, latency and errors per call so you can see exactly where an agent slowed down or went sideways.
Embeddings for memory
Generate embeddings through the same API to give agents long-term memory and retrieval without another integration.
How it works
From prototype to autonomous in three steps
- 1
Create your account
Sign up in minutes and start on a free allowance twice the size of what most platforms offer.
- 2
Pick models and get a key
Choose a reasoning model for planning and a fast model for actions. One key unlocks both.
- 3
Ship your agent
Point your agent framework at one endpoint, set budgets per key, and watch it work in the live console.
Use cases
Agents our platform was made for
Customer resolution agents
Agents that read the ticket, check the order, issue the refund and close the loop — without a human handoff.
Coding agents
Autonomous assistants that plan changes, write code, run checks and open pull requests in tight iteration cycles.
Research agents
Multi-step agents that search, read, compare sources and deliver a cited brief in minutes instead of days.
Operations agents
Back-office agents that reconcile records, triage inboxes and update systems of record around the clock.
Outcomes
What fast inference unlocks for agents
Minutes → seconds
multi-step task completion
Tight per-step latency turns long agent runs into near-instant results users actually wait for.
Predictable
agent economics
Per-key limits and five-day billing make it easy to know what each agent costs before it scales.
Faster
iteration cycles
Swap models per step without rewiring code, so you can tune quality and speed in an afternoon.
The future of software is agents. The future of agents is speed.
HyperAI gives every step of every loop the instant inference it deserves.
FAQ
Questions, answered
Can I use different models for different agent steps?
Yes. Every model in the catalog is available through the same API, so you can route planning, tool calls and summarisation to whichever model fits each step.
How do I stop a runaway agent from overspending?
Issue a dedicated API key per agent or environment and set spend limits on each. Usage is visible in the console in real time.
Do you support function calling and structured output?
Yes. Models that support tool use and structured responses expose them through a consistent interface, so your agent code stays clean.
Does it work with my existing agent framework?
Our API follows widely adopted conventions, so most popular agent frameworks connect by changing an endpoint and a key.
How does billing work for bursty agent traffic?
You pay for what you use, metered precisely, and billing settles every five days — so bursts never pile up into a surprise month-end bill.
Give your agents a faster brain.
Start free with double the usual allowance and ship your first production agent this week.