Now supporting OpenClaw & all major LLM providers

Stop Tokenmaxxing.
Start Saving.

Real-time token optimization and governance for autonomous AI agents. Cut LLM costs by 50–80% without sacrificing performance.

50–80%Token cost reduction
97%Costs at context phase
50×Token blowup per agentic loop
40%Agentic projects at risk by 2027

The agent cost trap is real

In agentic loops every iteration rebills the full context. Teams discover the damage at month-end. No unified cost optimization layer exists — until now.

85%

of orgs misestimate AI costs by more than 10%

30%

underestimate AI infrastructure costs — IDC 2027

40%

of agentic AI projects will be canceled — cost runaway is #1 reason

The Loop Is Where the Money Goes to Die

A 10-cycle agent loop consumes 50× the tokens of a single pass. 97% of those costs happen at the context phase — invisible to the teams running them.

Autonomous systems run 24/7 with zero spend visibility. TokenAxe intercepts, analyzes, and optimizes in real time.

50×
token blowup
per loop

Observe → Govern → Optimize

TokenAxe sits between your agents and LLM APIs, giving you the full governance stack in one platform.

Real-Time Visibility

See token spend across every model and agent live — not at month-end. Full transparency into every agent interaction.

Context Pruning

Automatically trim stale context from agentic loops before costs compound. Zero impact on output quality.

Intelligent Model Routing

Route tasks to the most cost-effective model based on complexity. Use flagship models where they matter, save everywhere else.

Loop Detection & Prevention

A 10-cycle agent loop consumes 50× the tokens of a single pass. We detect and stop runaway loops before they bill.

Governance Policies

Set budget caps, alert thresholds, and spend guardrails. Enterprise-ready with SOC 2 Type I compliance.

Prompt Caching

Cache repeated prompt segments automatically. Common prefixes get reused — not rebilled — on every call.

See it in action

Real-time token intelligence

Live dashboards, per-agent budgets, and automatic optimizations — all visible as they happen.

Live Token Monitor
Live
ResearchAgent
142.8k/ 200k
SummaryAgent
38.4k/ 100k
CodeReviewAgent
91.2k/ 80k

⚠ Over budget — loop prevention triggered

DataExtractAgent
24.6k/ 150k
4 agents · $214.80 saved today↓ 63% vs baseline
TokenAxe CLI
$ tokenaxe monitor --agents all
✓ TokenAxe connected — 4 agents tracked
 
[09:14:22] ResearchAgent loop #3 detected
→ Context pruned: 28,400 tokens removed
→ Saved: $0.85 this iteration
 
[09:14:31] CodeReviewAgent approaching limit
⚠ 91,200 / 80,000 tokens (114%)
→ Routing to claude-haiku-4-5 for next task
→ Estimated savings: $1.42
 
✓ Daily savings: $214.80 (↓63% vs baseline)
63%
avg token cost reduction
<30 min
to first optimization
0 changes
to your agent code

Works with your entire stack

Drop TokenAxe into any agentic workflow. Native plugins for the top frameworks, proxy support for everything else.

🪝
OpenClaw
Agent Framework

Native plugin. Deploy token governance directly inside OpenClaw workflows with zero configuration.

OpenAI
LLM Provider

Full GPT-4o, GPT-4 Turbo, and o-series support with per-call token attribution and budget controls.

🧠
Anthropic
LLM Provider

Claude 3.5, Claude 4 family — including prompt caching natively via our Anthropic proxy.

🔗
LangChain
Agent Framework

Wrap LangChain agents with TokenAxe middleware. Per-chain and per-tool token tracking out of the box.

🦙
LlamaIndex
Agent Framework

RAG pipeline token tracking, query engine costs, and full retrieval context auditing.

🌊
Cohere
LLM Provider

Command R+ and Embed v3 support with embedding token cost attribution.

🌪️
Mistral
LLM Provider

Mixtral 8x7B, Mistral Large — route to Mistral automatically when cost/quality ratio fits.

🤖
AutoGen
Agent Framework

Multi-agent conversation tracking. Monitor token costs across every agent-to-agent exchange.

🪝OpenClaw
OpenAI
🧠Anthropic
🔗LangChain
🦙LlamaIndex
🌊Cohere
🌪️Mistral
🤖AutoGen
🚢CrewAI
🤗Hugging Face
🪝OpenClaw
OpenAI
🧠Anthropic
🔗LangChain
🦙LlamaIndex
🌊Cohere
🌪️Mistral
🤖AutoGen
🚢CrewAI
🤗Hugging Face

Up and running in minutes

No infrastructure changes. Just point your agents at TokenAxe and watch costs drop.

01

Connect

Install the TokenAxe SDK or use our REST proxy. Works with OpenAI, Anthropic, Cohere, and more.

02

Analyze

We immediately start tracking token usage per agent, per model, per task — with full loop detection.

03

Optimize

Enable auto-pruning, model routing, and prompt caching. Watch your bill shrink in the first billing cycle.

Pricing anchored to your savings

Pay a fraction of what TokenAxe saves you. ROI is typically 5–10× in month one.

Free

$0forever

Get the tool in your hands, no friction.

  • Up to 3 agents
  • Basic token analytics
  • 7-day retention
  • Community access
  • OpenClaw plugin
Start for free
Most popular

Pro

$499/ month

For growing teams running serious agentic workloads.

  • Unlimited agents
  • Loop detection & prevention
  • Model delegation routing
  • Context pruning engine
  • 30-day retention
  • Slack & email alerts
  • Priority support
Start Pro trial

Enterprise

Custompricing

Full governance, compliance, and dedicated SLAs.

  • Everything in Pro
  • Custom governance policies
  • SOC 2 Type I compliance
  • Dedicated SLAs
  • SSO & RBAC
  • Unlimited retention
  • Dedicated success manager
Contact us
Community first. Enterprise second.

Join the token-aware movement

Like FinOps for cloud, we're building the governance standard for agentic AI — community first. 1,000 builders sharing benchmarks before our first enterprise deal closes.

Frequently asked questions

Won't model providers just build this natively?
Anthropic already tried — they imposed rate limits because native tools weren't enough. Cloud providers built cost dashboards and CloudHealth still became a $15B category. Our advantage is cross-provider, agent-level governance — something no single provider will ever build.
How does TokenAxe integrate with my existing stack?
TokenAxe sits as a lightweight proxy between your agents and LLM APIs. We have a native OpenClaw plugin, SDKs for Python and TypeScript, and REST API support. Most teams are up and running in under 30 minutes.
Does context pruning affect output quality?
Our pruning engine preserves semantic fidelity. We identify stale, redundant, and low-signal context — not core reasoning chains. Teams consistently report zero degradation in output quality after enabling pruning.
What's the typical ROI timeline?
Most teams see cost reduction within the first billing cycle. If you're spending $5K+/month on LLM APIs, the ROI is typically 5–10× in month one.
Is my data safe?
We're SOC 2 Type I compliant and pursuing Type II. We never train on your data. All token metadata is encrypted at rest and in transit. Enterprise plans support data residency requirements.
🎯 Launching at conference — limited early access

Stop tokenmaxxing before your next sprint.

Join the waitlist and be first to know when TokenAxe opens early access. We'll reach out personally — no spam, just a conversation about your agentic setup.

No credit card. No spam. Unsubscribe anytime.