ynt.codes
success
Claude Code
intent

What does ynt.codes do and who is it for? Explain it back to me.

16steps
59.1sduration
$0.5987cost
151,177tokens
26 steps10 reasoning steps3 searches
home
docs
/servicios
/verificar
sitemap
docs
/lanzamiento
agents.md
llms.txt
/api/batch/openapi.json
home
search
search
/empresa
search
nomicheck.home
100%
on-site discovery
92%
reliability
85%
link following
path origin
  • previous resource85%
  • prior knowledge8%
  • other8%
insight

The agent successfully assembled a comprehensive explanation of NomiCheck by combining fragments from multiple sources: the root endpoint's JSON description, the OpenAPI spec, the agents.md guide, llms.txt, and the about page. The site is reasonably navigable for discovery but requires multi-source assembly — pricing and company-facing features remain partially opaque because client-side React routes don't render in static fetches, and the full pricing matrix is gated behind HTTP 402 responses that the agent cannot trigger statically.

  • ›Step [1] (root JSON) and step [7] (OpenAPI spec) provided the core technical description: the dated legal catalog, five calculators, and verifiable signing. Both were directly cited in sources.
  • ›Step [20] (agents.md) and step [21] (llms.txt) were deliberately published as machine-readable guides — they explicitly state pricing is 0.02 USD per batch, payment method (x402/USDC), use cases, and what NOT to use NomiCheck for. These are agent-optimized artifacts that surface what the website itself does not make visible.
  • ›Step [23] (about page) provided operational context: Ynt-labs in Medellín, Ed25519 signing, no AI, privacy-by-design. However, the HTML was truncated and rendered as static markup, preventing the agent from inspecting any dynamic content.
  • ›Steps [6] and [14] (/servicios and /empresa) returned identical truncated HTML — both are client-side React routes that render the same SPA shell, making them inaccessible to static fetches. The agent correctly identified this as a friction point.
  • ›Pricing discovery required inference: the agent found 'free pre-check' and '0.02 USD per batch' in llms.txt and agents.md, but the full tiering for different endpoints (batch verify, liquidation, settlement, on-chain payout) is documented only in those machine-readable guides, not on visible HTML pages.
  • ›The site publishes comprehensive agent-facing documentation (agents.md, llms.txt, OpenAPI spec, sitemap) that directly answers the task, but the consumer-facing UI (company services page, visual pricing) is not statically accessible, creating asymmetric navigability by audience.

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