{
  "opencollection": "1.0.0",
  "info": {
    "name": "Fern Ask Fern API",
    "version": "1.0"
  },
  "request": {
    "auth": {
      "type": "bearer",
      "token": "{{bearerToken}}"
    }
  },
  "items": [
    {
      "info": {
        "name": "Website Sources",
        "type": "folder"
      },
      "items": [
        {
          "info": { "name": "Index a documentation website", "type": "http" },
          "http": {
            "method": "POST",
            "url": "https://fai.buildwithfern.com/sources/website/:domain/index",
            "params": [
              { "name": "domain", "value": "docs.example.com", "type": "path", "description": "The documentation domain to index." }
            ],
            "body": { "type": "json", "data": "{\"base_url\": \"https://docs.example.com\"}" }
          },
          "docs": "Start an indexing job that crawls and indexes a documentation website. Returns a job_id. Modeled endpoint - reconcile against the live reference."
        },
        {
          "info": { "name": "Get website indexing status", "type": "http" },
          "http": {
            "method": "GET",
            "url": "https://fai.buildwithfern.com/sources/website/:domain/status",
            "params": [
              { "name": "domain", "value": "docs.example.com", "type": "path", "description": "The documentation domain being indexed." },
              { "name": "job_id", "value": "", "type": "query", "description": "The job ID returned from the index endpoint." }
            ]
          },
          "docs": "Return the status of a website indexing job, including pages_indexed and pages_failed. Confirmed endpoint."
        }
      ]
    },
    {
      "info": {
        "name": "Ask",
        "type": "folder"
      },
      "items": [
        {
          "info": { "name": "Ask a question", "type": "http" },
          "http": {
            "method": "GET",
            "url": "https://fai.buildwithfern.com/ask",
            "params": [
              { "name": "q", "value": "", "type": "query", "description": "URI-encoded natural-language question." }
            ]
          },
          "docs": "Submit a natural-language question and receive an AI-generated answer grounded in the indexed documentation. Modeled endpoint shape - reconcile against the live reference."
        }
      ]
    }
  ]
}