The agent control plane

One API key, every model, control in the request path. For every team and every autonomous agent.

An agent multiplies LLM calls a thousandfold: routed intelligently, secured in the request path, and spent on purpose. Below, the five failures that make autonomy hard to authorize, ranked by what actually hurts, each with the coverage that made it famous, and exactly what closes it.

Pay as you go from $5 · the platform fee on top · no subscription

Budget enforcement

Why is budget the whole point?

The problem

AI cost is unbounded by default.

Software used to be license-based and predictable. AI is metered by the token. One runaway agent loop can outspend an entire department before finance ever sees a dashboard.

$500M

Surprise AI bill

40%

Cancelled projects

1,000x

Runaway loops

In the news

Yahoo Finance · Finance · May 2026

Client Accidentally Burns $500 Million on Claude AI in One Month

An unnamed corporate client accidentally ran up a massive Claude AI bill in a single month after rolling out agentic AI without usage limits.

How nRouter fixes it

Spend is governed before the call, not reconciled after.

Pre-flight budgets enforce hard spending caps per org, team, and key. Credits reserve upfront and settle on actual usage. Calls over budget return a hard 402 with zero overruns.

Per key · team · orgReserve → settleHard cap at pre-flight
app.nrouter.ai/acme/budgets

Budget enforcement

blocking now
OrganizationEnforced
62% of $5,000
Team · platformNear limit
88% of $1,200
Key · productionBlocked
100% of $800

Reserve credits before the call · settle the exact cost after. The over-cap request never runs.

One key, every model

Why one API key?

The problem

The model you bet on rarely stays the best.

Betting your product on a single provider SDK creates massive migration debt when better models ship. Every committed key is another credential leak risk.

28M

Leaked credentials

+81%

YoY leak increase

113K

Keys exposed

In the news

IT Pro · Security · 2025

GitHub is awash with leaked AI company secrets

Security sweeps reveal developers are regularly committing high-privilege provider API credentials directly into public GitHub repositories.

How nRouter fixes it

All your models behind one key. Switching is a string.

One unified nRouter key gates the entire catalog with zero BYOK. Swapping models from OpenAI to Anthropic or Gemini is a single-line configuration change.

No BYOKTwo-line model swapKeys stay with us

Before · 5 keys, 5 bills

Anthropicsk-····
Googlesk-····
OpenAIsk-····
Bedrocksk-····

nRouter

sk-nrouter-·····7f3a

Single invoice

After · every model

claude-opusgpt-5.5gemini-2.5-proo-series+74 more
Guardrails + PII

Why is safety inline?

The problem

One paste leaks customer data.

Banning AI fails as teams route around blocks using personal accounts. Stopping data exfiltration requires inline inspection on every request.

410M

DLP violations

+99.3%

YoY jump in leaks

1 in 10

Prompts with PII

In the news

American Banker · Banking · May 2026

Community bank discloses shadow-AI cybersecurity incident

A community bank parent disclosed a cybersecurity breach after an employee uploaded unredacted customer names, DOBs, and SSNs.

How nRouter fixes it

Guardrails run inline on every request.

Content moderation, PII redaction, and prompt injection defense execute directly in the request path with sub-50ms overhead and zero shadow bypass routes.

PII redactionInjection defenseIncluded on every plan
app.nrouter.ai/acme/guardrails

Guardrails

in path · every call
GuardrailStageActionOn
prompt-injection-guardPre-callBlock
pii-redactionPre-callRedact
content-safetyPost-callBlock
keyword-blocklistPre-callBlock
Input:Send report to admin@corp.com
Output:Send report to [EMAIL REDACTED]

Enforced centrally at the gateway path. Overrides configure key > team > org.

Smart routing

Why one endpoint?

The problem

One model is a single point of failure.

Wiring apps directly to one model makes its downtime yours. Resilient teams fail over to alternate models and providers in milliseconds.

~15h

ChatGPT downtime

108%

Cost increase

78%

Unexpected charges

In the news

9to5Mac · Tech · Dec 2025

ChatGPT is down for users after a routing misconfiguration

A single routing misconfiguration took down ChatGPT for 15 hours, highlighting the vulnerability of depending on a single LLM deployment.

How nRouter fixes it

Failover and routing at one in-path seam.

Smart routing balances traffic based on latency, cost, and health. Fallback chains switch to backup models instantly on error with zero app changes.

Configured failoverCost / latency routingA/B experiments
app.nrouter.ai/acme/routing

Smart routing

active failover
POST /v1/chat/completions

nRouter Gateway

Evaluating target...

claude-opus

503 Down

gpt-5

Active

Configured Smart Router chains evaluate targets inline and advance past unhealthy providers without an application redeploy.

Cost & usage tracking

Why a platform fee?

The problem

Nobody knows why the bill was $4,800.

Spread across separate provider consoles without attribution, tracing who spent what or identifying infinite agent loops is impossible.

5

Provider consoles

$4,800

Surprise AI bill

1 week

To reconcile

In the news

Medium · Engineering · 2026

Our AI bill was $4,800 last month. Nobody knew why.

Engineering teams struggle with unexplained monthly API bills due to lack of per-key or per-team cost attribution across consoles.

How nRouter fixes it

One honest console. Real provider cost, attributed.

Exact provider cost returned in response headers and attributed to every key, team, and organization with atomic credit settlement.

Provider-reported costPer key · team · orgDisplayed == ledger
app.nrouter.ai/acme/cost

Cost & usage

displayed == ledger

Spend · MTD

$0.2732

provider-reported

Avg / request

$0.000045

72 requests

Projected

$0.3628

month-end

Daily Spend Trend+14.2%

Spend by model

gemini-2.5-flash-lite$0.229
claude-opus$0.030
gpt-5$0.014

One key. One bill. One bar of control over every model your team touches.

Same product, three honest answers

Whoever's asking “why,” the answer holds up.

The team adopting it

“Will this actually simplify our stack?”

One key replaces every provider account, contract, and invoice. Finance gets one bill with hard budgets; engineering gets every model behind two lines of code. Nothing to self-host, nothing to stitch.

  • One key for every model
  • Hard budgets per key, team & org
  • Guardrails + PII redaction inline
  • Configured failover & smart routing
  • One invoice, real provider cost
  • Team roles, keys & request logs

The investor

“Where is the durable moat?”

A platform fee on managed governance (multi-tenancy, billing, RBAC, budgets, guardrails) that compounds as model count grows. We win precisely because switching models is free for the customer and sticky for the platform.

  • Flat 4% platform fee, not a token markup
  • Stickier as model count grows
  • Governance is the lock-in, not the model

The builder just looking

“How fast can I ship?”

Sign up, grab a key, point the OpenAI SDK at our base URL. You are calling every model in under a minute — no provider keys, no infrastructure. Pay as you go from $5.

  • OpenAI-compatible — keep your SDK
  • Load $5 in credits to start
  • Live in under a minute
The vision

AI is becoming autonomous; control must become automatic.

The next decade of software will be operated by fleets of autonomous agents, each calling models thousands of times an hour and spending real money by design. When autonomous systems do real work for every company on earth, their calls flow through nRouter.

One key. Every model.
Start in under a minute.

Bring the OpenAI SDK you already use, point it at our base URL, and route across providers with budgets and guardrails on, from the very first request.

Pay as you go from $5 · the platform fee on top · no subscription