Scope
Scope is an agent experience platform that tracks AI agents as they browse a company's docs, APIs, and MCP servers, revealing where they stall and what those drop-offs cost in lost revenue. The platform joins sessions into complete journeys per agent, identifies their intent, and ranks fixes by revenue impact. It shows which agents like Cursor, Codex, and Claude Code are most active and what the single biggest fix would recover the most lost sessions.
- Data & Analytics
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Traditional web analytics cannot detect or track AI agents that increasingly browse products, read documentation, and test integrations on behalf of human buyers. When an agent encounters a broken step—a failed install, an unclear API reference, or a missing guide—it simply moves on without leaving a ticket or a second visit, so companies never learn why potential revenue was lost.
Solution
Scope provides AI agent analytics that track every agent session on a company's docs, API, and MCP servers, then join those sessions into complete journeys for each individual agent. The platform automatically identifies the agent's main intent, ranks drop-off points by their revenue impact, and shows exactly where agents stall in the funnel—from discovery through installation, sign-in, and first payment. Teams can see which agents (like Cursor, Codex, or Claude Code) are reaching their product, what those agents came to do in their own words, and what the single biggest fix is that would recover the most lost sessions. With this concrete journey visibility, companies can address specific blockers and then watch their agent-driven conversion rates improve.
Target Audience
Primary customers are SaaS companies and developer-focused businesses that want to understand and optimize how AI agents discover, evaluate, and purchase their products.
Features
- Real-time tracking of every agent session across docs, APIs, and MCP servers with automatic funnel visualization from discovery through MCP connection
- Session stitching that joins multiple agent visits into one continuous journey per individual agent
- Revenue-impact scoring that ranks each drop-off point by the estimated cost in lost conversions
- Intent detection that surfaces what agents are trying to accomplish, quoted "in their own words" from their browsing patterns
- Agent-specific breakdowns showing which AI agents (Cursor, Codex, Claude Code, and unnamed crawlers) are most active and where each one stalls
- Fix testing capability that lets teams validate changes against real agent runs before release, showing before/after conversion rates
- Live demo capability where Scope can be pointed at a customer's own product to reveal agent behavior and drop-off costs in a 30-minute session