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    <title>DEV Community: Nicolas Borjans</title>
    <description>The latest articles on DEV Community by Nicolas Borjans (@nicolas_borjans).</description>
    <link>https://dev.to/nicolas_borjans</link>
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      <title>DEV Community: Nicolas Borjans</title>
      <link>https://dev.to/nicolas_borjans</link>
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    <item>
      <title>I built a data platform that lets AI agents query 2,500+ verified datasets</title>
      <dc:creator>Nicolas Borjans</dc:creator>
      <pubDate>Mon, 13 Apr 2026 11:10:13 +0000</pubDate>
      <link>https://dev.to/nicolas_borjans/i-built-a-data-platform-that-lets-ai-agents-query-2500-verified-datasets-42g9</link>
      <guid>https://dev.to/nicolas_borjans/i-built-a-data-platform-that-lets-ai-agents-query-2500-verified-datasets-42g9</guid>
      <description>&lt;p&gt;There are millions of datasets scattered across government portals and tools, accessible mainly via APIs or CSVs. Different formats, different schemas, no easy way to merge them.&lt;/p&gt;

&lt;p&gt;I've been building &lt;a href="https://autario.com" rel="noopener noreferrer"&gt;autario&lt;/a&gt; to fix this. It's a data layer that makes public datasets queryable — for humans, apps, and AI agents.&lt;/p&gt;

&lt;h2&gt;
  
  
  What it does
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;2,500+ datasets and counting&lt;/strong&gt; from World Bank, IMF, Eurostat, FRED, SIPRI, IEA, NASA, NOAA&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;REST API&lt;/strong&gt;; filter, sort, paginate any dataset by URL&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;MCP support&lt;/strong&gt;; Claude, ChatGPT, and any AI agent can search, query, and publish charts without hallucinations&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Interactive charts&lt;/strong&gt;; 100+ visualizations and counting&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  The MCP part
&lt;/h2&gt;

&lt;p&gt;This is what I'm most excited about. Instead of LLMs hallucinating numbers, they can query autario in real-time:&lt;br&gt;
&lt;/p&gt;

&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight json"&gt;&lt;code&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="nl"&gt;"mcpServers"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="w"&gt;
    &lt;/span&gt;&lt;span class="nl"&gt;"autario"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="w"&gt;
      &lt;/span&gt;&lt;span class="nl"&gt;"command"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="s2"&gt;"npx"&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;&lt;span class="w"&gt;
      &lt;/span&gt;&lt;span class="nl"&gt;"args"&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt;&lt;span class="w"&gt; &lt;/span&gt;&lt;span class="p"&gt;[&lt;/span&gt;&lt;span class="s2"&gt;"autario-mcp"&lt;/span&gt;&lt;span class="p"&gt;]&lt;/span&gt;&lt;span class="w"&gt;
    &lt;/span&gt;&lt;span class="p"&gt;}&lt;/span&gt;&lt;span class="w"&gt;
  &lt;/span&gt;&lt;span class="p"&gt;}&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;span class="p"&gt;}&lt;/span&gt;&lt;span class="w"&gt;
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;



&lt;p&gt;12 tools: search_datasets, query_dataset, publish_chart, etc. The LLM searches for data, queries it, and if you wish, can publish a chart for future use. All with verified numbers. You can manually edit the charts later on.&lt;/p&gt;

&lt;p&gt;Example: Military Spending&lt;br&gt;
I asked Claude to compare military spending across countries. It searched autario, found the SIPRI dataset, queried the data, and published this:&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhyggz25n5785xbmenswa.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fhyggz25n5785xbmenswa.png" alt="Military Spending Chart" width="800" height="410"&gt;&lt;/a&gt;&lt;br&gt;
&lt;a href="https://autario.com/chart/XGhjrwCS" rel="noopener noreferrer"&gt;View interactive chart on autario&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The automatically generated insight text uses real numbers from the data, not from the model's training data, but can be manually edited too.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What I'd love feedback on&lt;/strong&gt;&lt;br&gt;
I'm trying to figure out what to build next:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;What datasets do you wish were easier to access? Public? Private? Which ones?&lt;/li&gt;
&lt;li&gt;Would you use this in your workflow? (dashboards, ML training, research, journalism?)&lt;/li&gt;
&lt;li&gt;Would private/proprietary datasets be valuable? Thinking about letting users upload and sell their own data&lt;/li&gt;
&lt;li&gt;What's the biggest pain point when working with data?&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The platform is free at autario.com. API docs at autario.com/documentation. npm package: npx autario-mcp.&lt;/p&gt;

&lt;p&gt;Would love to hear what would make this actually useful for your workflow.&lt;/p&gt;

&lt;p&gt;Thanks a lot!&lt;br&gt;
Niko&lt;/p&gt;

</description>
      <category>ai</category>
      <category>data</category>
      <category>api</category>
      <category>mcp</category>
    </item>
    <item>
      <title>First time here. LFG :)</title>
      <dc:creator>Nicolas Borjans</dc:creator>
      <pubDate>Mon, 13 Apr 2026 10:49:15 +0000</pubDate>
      <link>https://dev.to/nicolas_borjans/first-time-here-lfg--1bo9</link>
      <guid>https://dev.to/nicolas_borjans/first-time-here-lfg--1bo9</guid>
      <description></description>
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