scorchmark is an open-source CLI tool and MCP server that helps AI infrastructure teams detect cache-TTL waste, simulate model-swap savings, and analyze pricing drift across multiple AI providers. It provides per-agent attribution and integrates with prompt-caching workflows, supporting cost optimization and observability for large language model deployments.
scorchmark sits in PulseGate's LLM eval & observability category. It focuses on identifying and reducing unnecessary cache costs and inefficiencies in AI model usage across providers. scorchmark is an open-source project aimed at AI infrastructure engineers and FinOps teams. The project is open source (MIT). The product ships for the command line and API, and it can be self-hosted.
Behind scorchmark is Nas01010101, and the product first shipped in 2026. Among its 6 catalogued features are Cache TTL analysis, model swap simulation, and pricing drift detection. It exposes integrations via an MCP server and a public API.
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