Split-trace tool calls break scoring — server-side execution + trace-level scorers

Split-trace tool calls break scoring — server-side execution + trace-level scorers targets a $25.0B = 200,000 enterprises x $125k avg annual spend on observability, AIOps and assistant integrations total addressable market with medium saturation and a year-over-year growth rate of 18% (observability + AIOps + enterprise AI integrations).

Key trends driving demand: LLM-tooling proliferation -- more production assistants call external tools, increasing fragmented traces and the need for unified scoring.; Tracing standardization -- growing OpenTelemetry adoption simplifies attaching scorers and metadata at span/trace level.; Enterprise AI governance -- regulators and procurement demand auditable, server-side execution and explainability for assistant actions.; Shift toward server-side execution -- security and compliance preferences favor server-side tool runs over client-side approvals for critical actions..