Transparent pricing

Choose your plan

Start free. Pay only for what you use.

Starter

$4 $5 /month
billed yearly

For active developers

  • 25,000 compressions/month
  • 10 API keys
  • 5 projects
  • Email support
  • +1K requests addon β€” $0.50
Buy
POPULAR

Pro

$8 $10 /month
billed yearly

Maximum for professionals

  • 60,000 compressions/month
  • 50 API keys
  • 20 projects
  • Priority support
  • +1K requests addon β€” $0.40
Buy

Team

$16 $20 /user
billed yearly

For teams of 3+

  • 125,000 compressions/seat/month
  • Team dashboard
  • Priority support
  • Min 3 / Max 15 seats
  • +1K requests addon β€” $0.25
Buy
Agentic

For AI agents and high-volume automation

3,000,000 compressions/month
Optimized for AI agents
Lowest per-request cost
Priority support
99.5% SLA
+1K requests addon β€” $0.15
$299 $239 /month
billed yearly
Contact Us
Enterprise

For large organizations with custom needs

On-premise option
24/7 support
Custom integrations
+1K requests addon β€” $0.20
Custom Pricing
Contact Us

Frequently Asked Questions

A token is a unit of text for LLMs. On average, 1 token β‰ˆ 4 characters in English. OpenAI and Anthropic charge per token for both input and output text.
TokenCompress employs a sophisticated intelligent orchestration layer that performs high-precision, context-aware analysis to dynamically identify and selectively extract only the most semantically relevant files and code segments β€” delivering a distilled, information-dense payload to the LLM, ensuring both response completeness and factual accuracy while dramatically reducing token overhead.
No. We don't store your code. Compression happens in real-time, data is not saved. For enterprise, On-Premise option is available β€” all processing within your infrastructure.
Yes, at any time. Subscription continues until the end of the paid period. Unused tokens expire at month end.
When you reach your limit, you'll receive a notification. You can purchase additional tokens at your plan's rate or upgrade. Service isn't cut off abruptly.

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