Living with Fire API

1,361 plants with fire data — open API for fire-resistant landscapes

For Coding Agents

Copy these URLs into your AI coding agent to get started.

Key Endpoints

Supporting Data

All prefixed with /api/v2. Pagination: ?limit=&offset=. Format: {"data":[...],"meta":{"pagination":{...}}}
For AI coding agents: GET /api/v2/docs-raw (OpenAPI spec) · GET /plant-fields.json (all fields + attribute tree)

Data Structure

1. Attributes define what can be measured (e.g., "Water Needs")
2. Attributes have valuesAllowed arrays (each option has an ID + display label)
3. Values store the selected option ID for each plant
4. Multi-select attributes = multiple value rows per plant

The API resolves display names automatically. Each value has a resolved object:

// GET /api/v2/plants/{id} — values are inline on the plant object
{
  "commonName": "Glossy Abelia",
  "values": [
    {
      "attributeName": "Water Amount",
      "rawValue": "04",
      "resolved": { "value": "Low", "type": "enum" }
    }
  ]
}

// Just use resolved.value:
plant.values.forEach(v => console.log(`${v.attributeName}: ${v.resolved.value}`));

Quick Start

// Fetch plants with images
const { data, meta } = await fetch(
  'https://lwf-api.vercel.app/api/v2/plants?includeImages=true'
).then(r => r.json());

// Get a single plant with images + all resolved values in one call
const { data: plant } = await fetch(
  `https://lwf-api.vercel.app/api/v2/plants/${data[0].id}`
).then(r => r.json());

// Plant info + images + values all in one response
console.log(plant.commonName, plant.images, plant.values);
plant.values.forEach(v =>
  console.log(`${v.attributeName}: ${v.resolved?.value}`)
);

Test plant: 1b78126d-1f69-44b0-a06b-47116e41270d (Glossy abelia)

Project Ideas