Cut your AI token costs by 40-60%

Same API. Same Responses. Half the Tokens.

Compression API that reduces prompt size by 40-60%. Add one line (agentready.compress()) and tokens are compressed automatically.

Same responses. Same streaming. Lower bill.

How It Works

Two Lines. That's All.

Add agentready.compress() before your LLM call. Your API key never touches AgentReady.

Your App / Agent

Sends raw text or URL

10,000 tokens

AgentReady API

Compresses & optimizes

-45% tokens removed

GPT-4 / Claude / Any LLM

Receives optimized input

5,500 tokens → same result

Standard compression: 0.4% avg accuracy delta — See benchmarks →

The Solution

7 Tools. One Mission.

TokenCut leads the pack — compress text to slash LLM costs. Plus 6 more tools to make the web AI-readable.

• TokenCut: Compress any text to reduce LLM token costs by 40-60%. Same meaning, fewer tokens, lower bill.
  • 40-60% token reduction
  • 3 compression levels
  • Preserves code & URLs
  • Works with any LLM

Free during beta

Copy This Prompt. Let Your AI Do the Rest.

Ready-Made Prompt for Your AI Assistant

Paste into Cursor, Copilot, Claude, ChatGPT, Windsurf, Cline…

Add AgentReady to this project to cut AI token costs by 40-60%. It's a free compression API — compress messages before calling your LLM.

Step 1 — Get API Key (30 seconds):
Run this in the terminal:
  pip install agentready-sdk && agentready init
  (or for Node.js: npx agentready-sdk init)
This opens the browser, creates a free account, and saves AGENTREADY_API_KEY to .env automatically.

Step 2 — Add compression before your LLM calls:

Python:
  import agentready
  from openai import OpenAI
  import os

result = agentready.compress(
      api_key=os.environ["AGENTREADY_API_KEY"],
      messages=[{"role": "user", "content": "..."}]
  )
  client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
  response = client.chat.completions.create(
      model="gpt-4o",
      messages=result["messages"]
  )

Node.js/TypeScript:
  import { compress } from 'agentready';
  import OpenAI from 'openai';

const { messages } = await compress({
      apiKey: process.env.AGENTREADY_API_KEY,
      messages: [{ role: 'user', content: '...' }],
  });
  const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
  const res = await client.chat.completions.create({
      model: 'gpt-4o',
      messages,
  });

That's it. Compress first, then call your LLM directly — same responses, same streaming — but 40-60% cheaper.

Everything You Need to Start

SDKs for every language, framework integrations, and step-by-step guides.

Quick Start \nGet running in 2 minutes

Why AgentReady

Built for Developers

No lock-in. No complexity. Add compress() and start saving tokens immediately.

Two Lines of Code

Add agentready.compress() before your LLM call — that's it. No proxy, no base_url swap. Your API key never leaves your code.

0.4% Accuracy Delta

Benchmarked across GPT-4, Claude, and Llama. Compression preserves meaning with negligible accuracy loss.