digger.tools
success
Claude Code
intent

What does digger.tools do and who is it for? Explain it back to me.

14steps
64.4sduration
$0.8405cost
166,416tokens
25 steps11 reasoning steps6 searches
home
home
search
/new-tools/digger
home
/@diggerhq/alternative…
search
search
home
search
/domain-digger
/wotschofsky/domain-di…
search
search
37%
on-site discovery
50%
reliability
25%
link following
path origin
  • previous resource25%
  • web search63%
  • prior knowledge13%
insight

The agent successfully completed the task by assembling a comprehensive explanation of digger.tools from multiple sources, working around the direct website's inaccessibility (Vercel security checkpoint blocking bot access). It retrieved content from SaaSGenius, digger.dev, EpicTools, and GitHub to construct accurate answers about what Domain Digger does, who it's for, its free pricing model, and how it compares to alternatives. The site itself was not directly navigable, forcing heavy reliance on external documentation and search results.

  • ›Step [8] (digger.dev) returned metadata confirming Digger is a Terraform CI/CD tool, which helped the agent distinguish it from Domain Digger (digger.tools), clarifying a critical name collision that could confuse users.
  • ›Step [18] (epictools.dev) and [20] (GitHub repository) provided the substantive feature details—DNS lookups, WHOIS, subdomain discovery, SSL history, and IP geolocation—that formed the core of the explanation. The GitHub repo (wotschofsky/domain-digger) confirmed the open-source nature and tech stack.
  • ›Step [7] (SaaSGenius) supplemented the explanation with positioning and context, though most critical facts came from external sources rather than the official digger.tools site itself.
  • ›The digger.tools domain returned 429 security errors on every direct fetch (steps [1], [3], [14]), preventing the agent from accessing the primary resource. The agent successfully pivoted to third-party sources, indicating the site is not agent-friendly but the product is well-documented elsewhere.
  • ›The agent correctly inferred the free, open-source model and lack of monetization from multiple corroborating sources, showing appropriate confidence calibration when official documentation was unavailable.

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