Deterministic MCP harness for reliable LLM agents and tooling

Deterministic MCP harness for reliable LLM agents and tooling targets a $9.6B = 1.2M engineering teams x $8K ACV. Assumes 1.2M software engineering teams worldwide (SMB to enterprise) adopting LLM tooling and buying developer observability/testing tools at an average $8K annual contract value. total addressable market with medium saturation and a year-over-year growth rate of 30-60% growth in LLM tooling and developer observability categories as agent use increases.

Key trends driving demand: Agentization of workflows -- more apps use multi-step LLM agents and function calling, increasing complexity and brittleness.; Shift from ad hoc prompts to declared tool schemas -- teams now specify parameter descriptions and types which can silently change behavior.; Rising cost of silent failures -- time spent debugging and manual re-runs creates measurable developer productivity loss.; Observability for ML-in-the-loop apps -- demand for logging, regression testing, and causal attribution specific to prompts and tool descriptions.; Regulatory and audit requirements -- enterprises need reproducibility and traceability for automated decision systems..