The agent satisfied the discovery task by fetching the homepage and pricing page, assembling a coherent summary of what Nodal does, who it serves, how it's priced, and how it claims to differ from competitors. The site was reasonably navigable but published incomplete pricing data (missing annual plans, TTC prices, seat limits, token quotas for the base plan, and trial terms), requiring the agent to acknowledge gaps rather than fill them from model memory.

• ›The site exposes core positioning and feature lists clearly on the homepage, but pricing page omits critical details (annual discounts, TTC pricing, per-user or per-project limits, overage rates, and trial payment/cancellation terms) — forcing the agent to note what it could NOT find rather than speculate.
• ›White-label branding is inconsistently presented: the base 'Nodal' plan lists 'full white label' alongside 'Ma marque,' while 'Nodal Pro' is separately framed as the true white-label option. The agent correctly flagged this contradiction without resolving it.
• ›Pricing page is structured as a feature-comparison table but lacks annual pricing, TTC conversion, and per-plan seat/project limits — typical commerce-ready data that would allow an agent to recommend a plan. The agent fetched the resource but reported what was absent.
• ›The site uses French as its primary language and explicitly targets the French interior design market ('l'outil s'adapte au métier'); no competitive comparison is provided, so the agent could not independently verify claimed differentiators.
• ›The agent correctly avoided filling gaps with model memory (e.g., did not guess at typical pricing for competitor tools or infer missing token quotas) and instead explicitly listed what was unclear — a sound approach when site data is incomplete.