Pricing
Solutions for engineering and platform teams

Keep token spend in check without slowing your engineers down

AgentNuro Control puts a lightweight gateway between your apps and 50+ model providers, so every call is tagged to its team and agent, routed to the right-sized model, served from cache when it's safe, and held to a budget, with a one-line change, under 5 ms of overhead at p99, and a gateway that fails open.

Only the base URL changes. Your prompts, models and business logic stay the same.

Your AI traffic, last 7 days
Total tokens
482M
up 18% vs the prior 7 days
Total cost
$41,260
up 11% vs the prior 7 days
Token mix
Input291MOutput87MCached77MReasoning27M
Cache hit rate41%Blocked by budget3Added2.8 ms at p99

What does an engineering lead need to see?

Five questions engineering and platform teams ask about AI spend, answered from one set of data. Pick a question to see the answer.

Attribute

Tokens by type, team and agent

Every request is tagged with the team, project, model and agent behind it, and priced at the rate you're billed, split into input, output, cached and reasoning tokens. A single total hides which kind is driving cost.

Token mix by type, and top agents
Input291MOutput87MCached77MReasoning27M
Claims Triage Agent$6,240
IT Helpdesk Agent$2,910
Contract Review Agent$2,130

Why does token spend surprise engineering teams?

Because the levers sit in different places. The bill arrives per provider, and the decisions that drive it are made in code.

Leak 01

Agents and loops multiply calls

An agent decides how many model calls to make. One stuck loop or a long chain multiplies tokens on a single task, and nothing stops it.

Leak 02

The top model is the default

Left alone, apps call the most capable and most expensive model, for a rename as much as a redesign.

Leak 03

The same question is paid for again

Without a shared cache, the same request is generated and billed every time it is asked.

AgentNuro puts the controls in the request path

One gateway tags every call, routes it, caches it and holds it to a budget, so spend is controlled where it is decided.

AgentNuro Control
  • Tags every call
  • Routes each request
  • Caches repeated work
  • Holds it to a budget

How do you roll out a gateway without risking production?

Four steps, starting with one workload. Select a step to see what it adds.

Savings this month
- client = OpenAI()+ client = OpenAI(base_url="https://gw.agentnuro.ai/lite/…")

Not ready to route traffic yet? AgentNuro Insight shows where tokens and spend go through read-only connections, with no code change.

AgentNuro Insight

Frequently asked questions

Route your first workload through Control Lite

Most teams route their first workload within a day. No credit card required.