Compresr

Founded by Berke Argın in 2026

Compress prompt context to reduce language model token costs and improve response times

Pricing model

Pay As You Go

Rating

★ Mixed Reviews

Time to value

Quick Setup (< 1 hour)

You can use Compresr to compress long context windows before sending prompts to large language models. The service inspects your query alongside your source documents to drop irrelevant text and preserve the specific tokens needed for an accurate response. By filtering out unneeded text, it reduces input token usage by up to ninety percent, lowering API costs and cutting generation latency. You can integrate the drop-in Python or TypeScript SDKs into existing agent workflows, or deploy the service inside your private VPC infrastructure.

What Compresr does

Compress raw prompt context based on specific user queriesCalculate cost and token savings between raw and compressed textConnect context compression into Python applications via SDKIntegrate prompt compression into TypeScript and Node.js servicesTrack token volume and request expenditure per API keyDeploy compression instances inside private infrastructureQuestion-aware prompt context compressionDrop-in Python and TypeScript SDKsUp to ninety percent token volume reductionPrivate VPC and on-premises deployment optionsMaintains context accuracy on benchmarksReduces model response latencyDashboard for monitoring token spend and usage per API key