How does this differ from cursor cloud agents where I can hook up MCPs, etc and even launch the agent in my own cloud to connect directly to internal hosts like dbs?
They claim a 12% lead (from 36% to 48%) over Opus 4.6 in a RCA benchmark: https://www.relvy.ai/blog/relvy-improves-claude-accuracy-by-...
Thanks. Yeah, Cursor / Claude code + MCP is powerful. We differentiate on two fronts, mainly:
1) Greater accuracy with our specialized tools: Most MCP tools allow agents to query data, or run *ql queries - this overwhelms context windows given the scale of telemetry data. Raw data is also not great for reasoning - we’ve designed our tools to ensure that models get data in the right format, enriched with statistical summaries, baselines, and correlation data, so LLMs can focus on reasoning.
2) Product UX: You’ll also find that text based outputs from general purpose agents are not sufficient for this task - our notebook UX offers a great way to visualize the underlying data so you can review and build trust with the AI.