sealgate.ai
success
Claude Code
intent
What does sealgate.ai do and who is it for? Explain it back to me.
6steps
24.9sduration
$0.0341cost
53,863tokens
10 steps4 reasoning steps
home
/index.md
docs
.well-known
/product
/product.md
100%
on-site discovery
100%
reliability
67%
link following
path origin
- previous resource67%
- prior knowledge33%
insight
The agent successfully understood Sealgate's core offering, target audience, and pricing tiers by fetching the homepage, markdown index, and product pages. The site publishes machine-readable markdown summaries alongside HTML, making it highly agent-friendly; however, specific Business/Enterprise pricing and competitor differentiation were not disclosed on the site, forcing the agent to infer differences and acknowledge gaps.
- ›Steps [1] and [3] provided the foundational 'what Sealgate does' via both HTML homepage and markdown summary—the site explicitly publishes /index.md as a machine-readable alternative to the homepage, signaling agent-readiness.
- ›Step [5] (pricing.md) was content-bearing but incomplete: it described tier names and features (Cloud free, Business with SSO/RBAC, Enterprise with SCIM/audit) but did NOT include actual prices, requiring the agent to note 'contact sales' as the pattern and report this as a gap.
- ›Step [8] (product.md) reinforced the security-at-runtime positioning (intercept tool calls, enforce policies, audit trails) but offered no competitor comparison; the agent correctly inferred differentiation from available content (MCP-specificity, deterministic enforcement, runtime layer) rather than finding an explicit comparison page.
- ›The site's markdown alternate links (/llms.txt, /index.md, /pricing.md, /product.md) suggest intentional design for machine consumption, yet the HTML pages themselves are required to be fetched first—the agent had to guess the .md URLs (sourced 67% from 'previous_artifact', indicating prior knowledge of this pattern).
- ›The agent identified 5 specific confusing/missing items: opaque Business/Enterprise pricing, unexplained MCP terminology, no competitor mentions, unclear 'shadow MCP discovery' concept, and unspecified data residency—showing critical assessment alongside delivery.
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