Poco / benchmarks

We take the padding. Not the signal.

Real commands, real documents, counted with the same tokenizer your model uses.

Commands

35.5%

median saving

We drop the command output the conversation never needed.

The numbers →

Commands / receipts

ls -la src/
541 → 12676.7%
uv pip list
1,221 → 48060.7%
git show HEAD
12,603 → 6,81345.9%

Measured with the o200k_base tokenizer, against what the agent would have read without Poco.

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Files

Up to 70%

Documents are converted into AI-friendly formats.

The method →

Files / method

PDF, Word, PowerPoint, Excel and HTML all become Markdown before the model reads them.

A PDF is the hungriest of them, and gives back the most: up to 70% fewer tokens, with the content intact.

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MCP servers

One command prices every MCP server you have installed, and flags the ones you never call.

The method →

MCP servers / method

A server's tool definitions sit in the always-loaded system prompt. You pay for them every turn, called or not.

We price each server, then show you the ones you never call.

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Beta

Prompt

Your prompt, rewritten to say the same thing in fewer tokens.

The method →

Prompt / method

Much of a prompt is written for a reader who isn't there. Throat-clearing, hedging, restated context, politeness: the model pays for all of it and needs none of it.

We cut the scaffolding and keep the instruction.

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