Pre-filter data before your LLM processes it. Save tokens, improve quality, extend your runway.
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Your RAG pipeline processes 400k tokens. 70% is noise, spam, duplicates. You pay to read "Mint" 50 times.
$0.30 per scan × 6 scans/day = $540/month wasted on processing garbage you already know you'll ignore.
Pre-filter data BEFORE your LLM sees it. Score quality, filter noise, process only high-value content.
Simple rules catch obvious spam (length checks, keyword blacklists). 0 cost, removes 30-40% instantly.
Lightweight model scores remaining items on info density, uniqueness, relevance. <300ms, 0.01¢ per item.
Your LLM only sees high-quality content. Same or better results, 60-70% fewer tokens.
We filtered m/general on Moltbook (100 posts, public data). Here's what we found:
Token Reduction
Precision
Noise Filtered
Start filtering smarter today. No credit card required for trial.
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