Token Sieve API

Stop paying for tokens your AI app doesn't need.

Token Sieve removes wasted context from logs, HTML, chat history and agent tool outputs before your app calls expensive models — so you pay for signal, not noise.

Typical apps cut input cost by 40–80% per LLM request.

  • Free beta · no credit card
  • Paste a sample on the right to see your estimated savings

Estimate your savings

The hidden cost of AI apps is bloated context.

Most AI apps don't become expensive because the model is used once. They become expensive because they send the same noisy context again and again.

Every unnecessary token adds cost, latency and noise — often hundreds of dollars per month at scale.

Common waste:

  • repeated log lines
  • raw HTML with scripts, navbars and footers
  • duplicated RAG chunks
  • long chat histories
  • noisy agent tool outputs
  • stacktraces repeated across multiple runs

One API call before the expensive model call.

Send your raw context to Token Sieve first. The API analyzes token waste, safely removes obvious noise and returns a cleaner version with a cost savings report in USD.

Raw logs / HTML / agent trace → Token Sieve API → trimmed context + savings report → Claude / GPT / Gemini

Use cases

AI coding agents

Stop sending 80,000-token build logs to expensive models. Keep the error, remove the noise.

RAG apps

Remove duplicate chunks, oversized context and irrelevant metadata before generation.

Web research agents

Raw HTML is full of scripts, navbars, cookie banners and tracking code. Clean it before the model sees it.

Support AI

Long ticket histories include signatures, quotes and repeated replies. Send the issue history, not the clutter.

Agent tool outputs

Tool calls often return too much. Compress noisy outputs before your agent reasons over them.

See the difference before you integrate.

Before

Before

Your app sends:

  • 94,000 tokens of production logs
  • repeated stacktraces
  • duplicated error lines
  • irrelevant build output
  • noisy metadata
After

After

Your app sends:

  • 21,000 cleaner tokens
  • original error preserved
  • repeated lines collapsed
  • irrelevant noise removed
  • estimated savings shown before the LLM call

Result: 77.6% fewer input tokens — roughly $2.40 saved per request at Claude Opus input rates.

One request before your LLM request.

curl -X POST https://api.tokensieve.com/v1/trim \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "claude-opus-4-6",
  "mode": "safe",
  "content_type": "auto",
  "content": "paste long logs, HTML or agent trace here..."
}'

Use the returned trimmed_content in your next Claude, GPT or Gemini request — and check input_cost_before_usd vs input_cost_after_usd to see what you saved.

Supported models & pricing →  ·  Full documentation →

Safe mode is deterministic.

Token Sieve does not rewrite your facts, invent summaries or call an external LLM in safe mode. It removes obvious waste like duplicate lines, HTML boilerplate, repeated logs and excessive whitespace.

Token counts and cost savings are estimates. Always review critical context before sending it to a model.

Start trimming real LLM calls for free.

Generate a free beta API key and start cutting LLM input cost on every request — from your app, agent workflow or backend service.

  • No credit card required
  • See cost savings in USD before every model call
  • Works with Claude, GPT, Gemini or any LLM provider
  • You keep control of the final model call

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