TokenCut · SystemOS

Active cost reduction for tokenized companies

“Halve your AI costs in one line.”

−64%tokens for agents with 42 tool schemas
−47%tokens for CRM/RAG context
3 msfor repeated requests served from cache

You pay for tokens nobody needs

Every request to a language model is billed by the token – including everything the model does not need: courtesy phrases, empty data fields, system instructions sent twice, tool descriptions repeated a hundred times. TokenCut sits between your application and your model and removes this ballast before you pay for it.

How it works

01

Condense

Filler phrases, empty JSON fields, duplicate system prompts and repeated tool descriptions are removed by explicit rules. Numbers, code blocks, names and meaning stay unchanged.

02

Cache

Identical requests are answered from memory – no second model call. Kept separate per customer, never shared.

03

Prove

Every saving is counted. Only numbers and checksums are stored – never your content.

TokenCut works with transparent rules, not with a second AI model. When in doubt, your text stays as it is.

One-line integration

TokenCut speaks the same API as OpenAI. Exactly one line changes in your application: the address. SDKs, models and prompts stay as they are.

Want to measure without any model call first? Send your own text to /v1/tokencut/benchmark and see the before-and-after numbers right away.

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.systemos.global/v1",
    api_key="tck_…",   # your personal key
)
client.chat.completions.create(
    model="gpt-4o", messages=[...])

Measure without a model call

curl -X POST https://api.systemos.global/v1/tokencut/benchmark \
  -H "Authorization: Bearer tck_…" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o","messages":[{"role":"user","content":"Your text"}]}'

Measured, not extrapolated

All figures come from real runs against the live gateway on 24 September 2026. Savings depend on the content: the more repetition and formality, the more can be saved.

keptsaved
PayloadbeforeafterShareSaved
Agent with 42 tool schemas925337
−63.6%
CRM/RAG context (JSON with empty fields)1,213646
−46.7%
1 MB document (processed in 649 ms)257,894162,105
−37.1%
Business e-mail with filler phrases6039
−35.0%
Support e-mail (German)335281
−16.1%
Plain FAQ question3737
0%

Figures in tokens. Plain text is deliberately left unchanged – that is where the cache helps: the repeated request came back in 3 ms instead of 24.3 s (measured with a local model). Example at $5 per million input tokens: the CRM/RAG payload saves $283.50 per 100,000 calls.

49 / 50test conditions passed – the one difference is intended (HTML comments are removed)
45 / 45operational tests, including chat end to end
10 / 10one-time redemption tests – even 20 simultaneous attempts yield exactly one key
25parallel requests without an error
SHA-256integrity check over gateway and key logic
1:1numbers, code, umlauts and emoji verifiably stay unchanged

Free 24-hour trial

You receive a personal invitation code by e-mail. Redeem it once, change the address, measure.

Request trial access

  • 24 hours from your first request – the clock only starts when you actually begin.
  • One invitation code, one key: redeemable exactly once, bound to your device.
  • Up to 2,000 requests during the trial.
  • No payment details, no commitment. Access ends automatically.
  • Your content stays yours: only token counts are stored.
  • Test model: in the trial, responses come from a test model operated by us; response times of a few seconds are normal.

I look forward to your feedback

Continued use, a dedicated instance in your own infrastructure or higher quotas – just write to me directly.

Nico Becker

nicobecker123@gmail.com