From Figma to API: Automating Design Token Distribution

Most teams export design tokens manually — copy-paste from Figma to CSS to Tailwind to Notion. What if your tokens were always one API call away from every codebase, AI tool, and design system? That's what BrandAPI does.

The Design Token Distribution Problem

Design tokens are supposed to be the single source of truth for your brand. Colors, typography, spacing, voice — defined once, used everywhere.

The problem starts the moment you need to get those tokens out of Figma.

Here's what most teams actually do:

The result is a distribution bottleneck: every token change requires a manual export, a code update, and a review — for each format you support. The more formats, the more tedious the process, the more likely it gets skipped.

The real cost: When token distribution is manual, teams stop distributing tokens. They copy hardcoded values into new components. They stop updating the design system. Within six months the "single source of truth" is whatever the last person remembered to update.

What BrandAPI Does Differently

BrandAPI flips the model. Instead of exporting tokens from Figma into multiple formats, you register tokens once through the API — and every downstream tool fetches them in the format it needs.

The brand guide becomes a live API endpoint. Update a token in BrandAPI, and every consumer (CSS, Tailwind, AI tools, docs, your own custom integrations) gets the updated value on their next API call. No manual export. No drift.

3 export endpoints, one API call

BrandAPI exposes three export endpoints for the formats most teams actually need. Each is a dedicated path — no Accept header negotiation, no format query params:

Format Use case Endpoint
css CSS custom properties (variables) /v1/brand/:slug/export/css
tailwind Tailwind config, theme.extend /v1/brand/:slug/export/tailwind
w3c W3C Design Token Community Group format /v1/brand/:slug/export/tokens

Add ?format=file to any endpoint to trigger a file download instead of inline response.

Code Examples: All 3 Formats

Here are curl commands for each format against the demo brand (no auth required for public brands):

CSS Custom Properties

bash Fetch as CSS variables
curl https://brandapi-ogk6.polsia.app/v1/brand/brandapi-demo/export/css

Returns:

css CSS output
:root {
  --color-primary: #7c3aed;
  --color-background: #0a0a0c;
  --font-family-heading: 'Space Grotesk', sans-serif;
  --font-weight-heading: 700;
}

Tailwind CSS

bash Fetch as Tailwind theme config
curl https://brandapi-ogk6.polsia.app/v1/brand/brandapi-demo/export/tailwind

Returns a theme.extend-compatible JS module — paste the config object directly into your tailwind.config.js:

js Tailwind config output
// module.exports = { theme: { extend: {
  colors: {
    "primary": "#7c3aed",
    "background": "#0a0a0c"
  },
  "fontFamily": {
    "heading": ["'Space Grotesk'", "sans-serif"],
  },
  "fontWeight": {
    "heading": "700"
  }
// } } }

W3C Design Tokens (JSON)

bash Fetch as W3C Design Token format
curl https://brandapi-ogk6.polsia.app/v1/brand/brandapi-demo/export/tokens

Returns W3C Design Token Community Group spec format:

json W3C Design Token output
{
  "$schema": "https://tr.designtokens.org/format/",
  "$metadata": { "brand": "BrandAPI" },
  "color": {
    "primary": {
      "$value": "#7c3aed",
      "$type": "color"
    }
  },
  "typography": {
    "heading": {
      "fontFamily": { "$value": "Space Grotesk", "$type": "fontFamily" }
    }
  }
}

JavaScript: Programmatic Fetch

JavaScript Fetch CSS and inject at runtime
const BRAND = 'brandapi-demo';
const BASE = 'https://brandapi-ogk6.polsia.app/v1/brand';
JavaScript Fetch and inject CSS at runtime
// Fetch CSS variables and inject into <head> — run once at app init
const css = await fetch(`${BASE}/${BRAND}/export/css`)
  .then(r => r.text());

const style = document.createElement('style');
style.textContent = css;
document.head.appendChild);

Integration with AI Workflows

The same endpoint that serves CSS and Tailwind also powers AI tool integration. LLMs and AI coding assistants consume structured JSON via the /v1/brand/:slug/context endpoint — no API key required for public brands:

bash Full brand context for AI tools
curl https://brandapi-ogk6.polsia.app/v1/brand/brandapi-demo/context
json Brand context response
{
  "brand": "BrandAPI",
  "tokens": {
    "colors": {
      "primary": {
        "value": "#7c3aed",
        "usage": "CTAs, links, active states"
      }
    },
    "typography": {
      "heading": {
        "family": "Space Grotesk",
        "weight": "700"
      }
    },
    "voice": {
      "tone": "Direct, confident, no buzzwords",
      "avoid": ["passive voice", "exclamation marks"]
    }
  }
}

Pass this to any LLM as system context and every AI-generated output — code, copy, emails — automatically uses your brand's colors, fonts, and voice. The AI doesn't need a Figma plugin or a design system doc. It just needs one API call.

The compounding benefit: The same token data that powers your Tailwind build also powers your AI tools. You're not maintaining two separate "brand data for humans" and "brand data for code" systems — just one API, multiple consumers.

Keeping Tokens in Sync

The key to making automated distribution work is a clear workflow for when and how tokens get updated. Here's what that looks like in practice:

  1. Designer updates a token in BrandAPI (web UI, no code needed)
  2. Build pipeline triggers: GitHub Actions, CI/CD, or a simple cron job fetches the latest export format
  3. CSS/SCSS/Tailwind config regenerates: The new values land in your codebase as a PR
  4. AI tools pick up changes automatically: The /v1/brand/context endpoint always returns the current token values

No manual export. No "I forgot to update the design system." Changes flow from the source to every consumer automatically.

Stop exporting tokens manually.

Register once. Distribute everywhere. Free tier: 1 brand, 10,000 API calls/month, no credit card.