ClawScope is an observability and debugging layer for agentic AI computer use built specifically for OpenClaw/MCP-based stacks. Today, teams hacking together agents with MCP servers have zero standardized way to trace multi-step tool calls, diff UI actions, or replay failures, as reflected in recurring GitHub and Hacker News complaints about “opaque agents” and “impossible debugging”. ClawScope instruments agents at the tool-call and OS-interaction level, giving devs a timeline of actions, DOM/file diffs, and state snapshots. - Time-travel debugging for agentic sessions: replay each OpenClaw action, DOM change, and MCP call with step annotations. - Task analytics: see latency, failure patterns, and tool-usage stats across skills/servers, with alerts on regressions. - Prompt & policy diffing: compare agent runs before/after prompt changes or new guardrails to isolate what broke. - Team-ready logs & redaction: structured logs safe to share with security/compliance, with automatic PII masking. Revenue comes from a usage-based SaaS (metered runs + seats) targeting AI platform teams at Series A–C startups already spending on observability (Datadog, Sentry) but with no agent-specific equivalent.