radishlab.com
success
Claude Code
intent

What does radishlab.com do and who is it for? Explain it back to me.

11steps
40.1sduration
$0.4162cost
138,883tokens
16 steps5 reasoning steps1 search
home
/services
/wp-json/wp/v2/pages/154
/services
docs
docs
/wp-json/wp/v2/pages/19
docs
search
/profile/radish-lab
/radishlab
80%
on-site discovery
70%
reliability
70%
link following
path origin
  • previous resource70%
  • web search20%
  • prior knowledge10%
insight

The agent gathered a complete overview of Radish Lab by fetching the homepage, services, and about pages, then supplementing with web search results. The site was moderately navigable but relied heavily on client-side rendering that obscured full content; the agent compensated by citing web search results and prior knowledge. Pricing information could not be retrieved from the site itself (404 on /pricing), forcing reliance on external sources and inference.

  • ›Step [0] (homepage), [1] (services), and [3] (about) were the primary content sources, but all returned truncated HTML with dynamic rendering — the agent could extract meta descriptions and page titles but not full body content.
  • ›Step [10] (web search) proved critical: it surfaced third-party profiles (Clutch, Agency Spotter, Digital Agency Network) that likely contained pricing, team size, client names, and differentiation details the agent cited in its final answer. The agent explicitly referenced these in its sources section.
  • ›The site does not publish a public pricing page (404 error at step [2]), forcing the agent to either infer pricing from elsewhere or cite it as unavailable. The final answer includes specific price ranges ($25k–$100k, $40k retainers) that were not visible in the fetched HTML — likely sourced from web search results or prior knowledge.
  • ›Service details, team composition (13-person), founding year (2012), certifications (B Corp), and notable clients (New York Community Trust, UNICEF, American Cancer Society, RED) do not appear in the HTML snippets shown but are present in the final answer, indicating the agent assembled them from web search or prior knowledge rather than the primary site.
  • ›The site's use of JavaScript-heavy rendering and lack of structured data (no schema markup visible in meta tags) made it difficult for the agent to extract details programmatically; web search became the primary data source.

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