Scanning live. A first-ever scan of a domain runs against the site and takes about ten seconds.
0.0s elapsedAgentSpeed tests how easily automated agents can discover, understand, and act on nubank.com.br. The score weights five categories of machine-readability; the ticks on the arc are the 37 individual checks behind it.
Send this to whoever edits the site. The link shows the score and grade as a preview card, and it stays current: it re-reads the latest scan rather than freezing today’s number.
Checks tagged “emerging” are 2026 agent-protocol standards most of the web hasn’t adopted yet. Adopting early is an edge, not a defect.
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
Show me exactly what to doJSON-LD is a small block of structured facts (name, what you sell, prices) embedded invisibly in your page’s HTML, written in a vocabulary (schema.org) that machines share. Think of it as the machine-readable caption for the page humans see.
An agent reading prose has to guess which number is the price and which name is the brand. JSON-LD removes the guessing: typed facts it can quote directly. Pages without it get summarised from inference, which is where wrong prices and wrong names come from.
Get it in your inbox now, plus a heads-up whenever nubank.com.br’s agent-readiness score changes. Free, unsubscribe anytime.
Prefer we just watch it for you? Monitor rescans weekly and emails what changed, $29/mo. Start monitoring →
Generated, ready-to-ship files for the gaps above. Copy them, or download and drop them into your repo.
Weakest on this scan: structured data, 33/100 — facts like price and availability are missing or unreliable in machine-readable form, so agents are left to guess.
This graded your homepage. Your pricing, docs, and checkout live on other pages: the ones assistants actually quote when they recommend you. A 69/100 here means agents are already missing things on the page you polish most. The $29 Deep Scan grades your homepage plus up to 10 more pages we discover, against all 37 checks, then emails a PDF with every failing check and its exact fix, ranked by what costs you the most visibility. One-time, delivered in minutes, no subscription.
Embed this badge on your site. It links back to this live scan and updates on every rescan.
<a href="https://agentspeed.com/scan/nubank.com.br"><img src="https://agentspeed.com/badge/nubank.com.br" alt="AgentSpeed agent-readiness score" height="56"></a>Get this report by email, then a heads-up when nubank.com.br’s agent-readiness actually changes: a check regressing, or the composite dropping.
Two things never trigger an email: a score change caused by us publishing a new rubric, because that is a different instrument rather than a change to your site, and movement explained only by timing-derived checks, which shift run to run on a site nobody touched.
Want it on your own schedule, with Slack or a webhook instead of email? Score-drift monitoring is on every paid plan.
This score says whether an AI agent could read nubank.com.br. AI traffic analytics says whether one actually came, and which pages turned it away.
Running AI agents of your own? AgentSpeed also monitors them in production: every run, its latency, cost, and failures, with alerts when something breaks. Free for 10,000 events a month, no credit card.
Run reports like this for every client: white-label PDFs and weekly monitoring for up to 15 domains, $149/mo. AgentSpeed for Agencies →
This score is a measurement of machine-readability for automated agents under the published rubric 2026.11.0. AgentSpeed does not assess security, legitimacy, privacy, or financial trust.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
Visible text is 0.4% of HTML weight (4426/1114801 bytes). 21% of the document is inline script, 12% is markup.
Show me exactly what to doOf everything your server sends for this page, very little is actual readable text. The rest is code, styling, and markup wrapper. Agents fetched a lot of bytes and found few words.
Agents work with retrieval budgets. A page that is 2% text either gets skimmed (and mis-summarised) or skipped. More signal per byte means more of your actual message survives into the agent’s summary.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
A Link: header is present but carries none of canonical/alternate/describedby, the relations agents consume.
Show me exactly what to doHTTP responses can carry a Link header: the same canonical and alternate-language information your HTML declares, but delivered in the response envelope itself. Agents that only send a HEAD request, or that decide what to do while the page is still streaming, read the header without parsing any HTML. Yours is missing (or carries none of the relations agents use: canonical, alternate, describedby).
An agent triaging fifty URLs doesn’t want to download and parse fifty pages to learn which are duplicates of which. The Link header answers at the cheapest possible layer. Sites that provide it get correctly de-duplicated and correctly language-routed even by the most minimal fetchers.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
Heading issues: 4 skipped level(s).
Show me exactly what to doHeadings (H1, H2, H3…) are the page’s outline. Yours skip levels, repeat H1s, or use styled text instead of real heading tags, so the outline machines extract is scrambled.
Agents use the heading tree to navigate long pages and to decide which section answers a question. A broken tree means quotes get attributed to the wrong section, or sections are missed entirely.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
No Content-Signal directives. Add e.g. `Content-Signal: ai-train=no, ai-summarize=yes` to declare granular AI usage policy beyond binary allow/disallow.
Show me exactly what to doContent-Signal is a newer robots.txt directive (pushed by Cloudflare) that lets you state a granular AI policy: for example "don’t train on my content, but summarising it in answers is fine". Classic robots.txt only offers all-or-nothing per crawler; this adds the middle ground. We looked for a Content-Signal line in your robots.txt and response headers and found none.
Without a granular signal, crawlers infer your intent from blunt allow/block rules, and sites often block more than they mean to just to avoid training use. A declared signal lets you keep answer visibility (summaries, citations) while opting out of what you object to. This is an emerging standard: honoring is voluntary and adoption is early, which is why it is flagged as emerging and weighs little.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.
No valid MCP Server Card at /.well-known/mcp/server-card.json. Publish one so agents can discover your tools without HTML scraping.
Show me exactly what to doMCP (Model Context Protocol) is how AI assistants call tools. A server card is a small JSON file at /.well-known/mcp/server-card.json that announces "this site offers these tools" so an assistant can find them without scraping your pages. We requested that file from your site and found none.
Assistants that support MCP look for the card at that exact address. With one, "book an appointment on yoursite.com" can become a tool call instead of screen-driving your UI. This is an emerging standard, so it weighs little today; publishing early costs one static file and makes you visible to the assistants adopting it.
One prompt covering the fixes above that have a step-by-step plan, in the same priority order, with the same guardrails.
This scan shows whether an agent can read the site. One free probe asks a real assistant a real buying question and records who it cited.
Paste into Claude Code, Cursor, or any assistant with your repository open. It carries this finding, the steps, and the shortcuts to avoid.