🆕 NEW — Agent Cost Optimization

Stop Wasting 60% of
Your AI Budget on Noise

Every tool call, RAG chunk, and system prompt dumps redundant tokens into your LLM — and you're paying full price for them. Headroom compression cuts 20-95% of agent tokens with zero quality loss. We deploy it, tune it, and track the savings.

See Plans →
20-95%Token Reduction
0%Quality Loss
62K⭐Headroom on GitHub
$500+Min. Spend to Save

The problem & the solution

Before: Agents Burn Credits on Tool Call Noise

  • Tool calls dump raw API responses — 2,000+ tokens of JSON when 40 would do
  • Same RAG chunks injected into every agent call, duplicating context
  • System prompts padded with unused instructions that still cost tokens
  • Conversation history bloats without pruning — $50+/day on wasted memory
  • Full-resolution images passed when thumbnails would suffice
  • Chain-of-thought reasoning on trivial transforms burns reasoning tokens
  • No caching headers — identical inputs re-processed at full cost
  • MCP tools returning raw JSON blobs instead of structured summaries

After: Headroom Compression Cuts 20-95%

  • Tool outputs compressed before hitting the LLM — 60-95% fewer tokens for JSON
  • RAG chunks deduplicated and tuned for optimal context injection
  • System prompts trimmed to only active instructions
  • Automatic conversation pruning with configurable retention windows
  • Image inputs auto-compressed to optimal resolution
  • Reasoning model routing — CoT only when needed
  • Semantic caching — identical inputs return cached responses
  • MCP responses summarized instead of dumped raw
$5,000+ Average annual savings for teams spending $500+/mo on API credits

What's included

Six optimization layers — every agent, every call, every token.

🗜️

Token Compression

Headroom deployment with custom compression profiles. Tool outputs, logs, and RAG chunks compressed before hitting the LLM. 20-95% reduction depending on content type. Verified zero quality loss on every profile.

🔧

Tool Call Optimization

MCP and tool responses analyzed and optimized. Verbose JSON blobs get structured summaries. API response fields trimmed to only what the agent actually uses. Average 60% reduction on tool call token costs.

📚

RAG Chunk Tuning

Context injection audit — find every redundant chunk, prune duplicate context, and optimize chunk size. Configure semantic chunking that sends exactly what the agent needs, not everything it could possibly reference.

🧠

Model Selection Rules

Route tasks to the right model automatically. Simple transforms → cheap models. Complex reasoning → smart models. No more paying GPT-4o rates for string concatenation. Custom rule engine for any use case.

📊

Usage Analytics Dashboard

Real-time dashboard showing tokens saved, costs avoided, and per-agent spend. See exactly how much each optimization layer is saving you. Export reports for stakeholders. Compare before/after in one click.

🔔

Budget Alerts

Set daily, weekly, and monthly budgets per agent. Get Telegram alerts when spend exceeds thresholds. Auto-pause agents that exceed budgets. Never wake up to a $500 surprise bill again.

Straightforward pricing

No hidden fees. No long contracts. Start recovering your AI budget today.

Quick Audit

$197 one-time

Know exactly where your AI budget is bleeding.

  • Complete token usage audit across all agents
  • Top 5 waste findings ranked by savings potential
  • Detailed savings projection with timeline
  • Headroom compatibility assessment
  • Delivered as polished PDF report
  • 30-min walkthrough call included
Order Audit →

Full Optimization

$997 setup

Everything deployed, tuned, and tracking savings.

  • Headroom deployment with custom profiles
  • Token compression for all tool/MCP outputs
  • RAG chunk audit + optimization
  • Tool call optimization across all agents
  • Model selection rules engine setup
  • Usage analytics dashboard
  • Budget alerts + Telegram integration
  • 30-day savings tracking with weekly reports
  • 1-hour onboarding call
Get Started →

Managed Service

$497 /mo

Set it and forget it — we keep optimizing.

  • Everything in Full Optimization
  • Ongoing monitoring re-tuning
  • Weekly savings reports
  • New agent onboarding included
  • Compression profile updates
  • Cost anomaly detection
  • Priority Telegram support
  • Monthly strategy review call
  • Cancel anytime — no lock-in
Go Managed →

How it works

From audit to savings in one week.

1

Audit

We analyze your token usage across all agents. Every tool call, RAG chunk, and system prompt measured. You get a clear picture of where money is being wasted.

2

Configure

We deploy Headroom compression and custom optimization profiles. Tool outputs get compressed, RAG chunks get tuned, model routing rules go live.

3

Deploy

Optimizations go live across your agent infrastructure. Analytics dashboard starts tracking savings in real-time. Budget alerts activated.

4

Monitor

Weekly savings reports show exactly what's working. We continuously re-tune as your usage patterns evolve. Managed clients get proactive optimization.

Free: 10 AI Agent Token Wastes You're Probably Ignoring

Spot the hidden cost leaks in your agent setup. Most teams find $200-500/mo in savings within 10 minutes.

📋 "10 AI Agent Token Wastes You're Probably Ignoring"

What's inside: A concrete checklist revealing 10 hidden cost leaks — verbose tool outputs, redundant RAG chunks, unoptimized MCP responses, memory bloat, and 6 more. Score your setup (0-10) and get instant savings projections. Delivered as PDF instantly.

No spam. Unsubscribe anytime. We'll send the checklist + one follow-up with optimization tips.

Already audited your costs? Jump straight to the Full Optimization setup. We can deploy Headroom and start saving in under 48 hours.

Frequently asked

Does Headroom compression actually work without losing quality?
Yes — and it's been proven at scale. Headroom (62K+ GitHub stars) compresses tool outputs, logs, and RAG chunks using semantic compression techniques that preserve meaning while drastically reducing token count. Independent benchmarks show identical response quality at 20-95% fewer tokens. JSON tool outputs see the biggest wins (up to 95% compression).
How do I know if I'm wasting money on tokens?
If you're running 3+ AI agents (or spending $500+/mo on API credits), you're almost certainly overpaying. The free checklist reveals 10 common waste patterns. Our Quick Audit gives you exact numbers, ranked by savings potential. Most clients find $200-1,000+/mo in recoverable waste.
What's the timeline from order to savings?
Quick Audit: PDF report delivered within 48 hours. Full Optimization: Headroom deployed and compressing within 1 week. Managed Service: Ongoing — you start seeing savings in week 1, with compounding improvements each month.
Does this work with any agent framework?
Yes. Headroom works at the API gateway level, so it's compatible with Claude Code, Cursor, Codex, Hermes Agent, LangChain, CrewAI, AutoGPT, and any framework that routes through an LLM API. No agent code changes required — we intercept and optimize at the transport layer.
What if I'm already using caching or prompt optimization?
Good start — but caching alone doesn't compress tool outputs or optimize RAG chunks. Headroom's compression stack works alongside caching for additive savings. Our audit will show how much additional headroom you have. Most teams with basic caching still find 20-40% more savings.
Can I cancel the Managed Service anytime?
Absolutely. No lock-in, no cancellation fees. If you cancel, you keep the Headroom deployment and all optimization configs. We just stop the monitoring and re-tuning. Your savings keep working.