Stop LLMs burning tokens on MCP context - runtime trimming middleware

Stop LLMs burning tokens on MCP context - runtime trimming middleware targets a $120M = 4,000 companies running production LLM workloads x $30,000 ACV annual savings and tooling spend. Buyer count is estimated from enterprises and startups that run heavy LLM inference and have line items for infra and observability. total addressable market with low saturation and a year-over-year growth rate of 40%+ adoption among LLM-deploying teams as more apps move to production and billing transparency increases.

Key trends driving demand: Centralized LLM orchestration -- more apps use MCP or orchestration layers, creating repeatable context patterns that can be optimized; Rising LLM inference bills -- granular provider billing and rising model sizes make token efficiency a direct cost center; Developer observability standardization -- teams already instrument CI, tracing and logs, so adding token telemetry fits existing workflows.