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GET
/
projects
/
{project_id}
/
available-document-metadata
List available document metadata
import requests

url = "https://eu.app.clarifeye.ai/api/v1/projects/{project_id}/available-document-metadata/"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)
{
  "tag": [
    "Finance",
    "Legal"
  ],
  "source_path": [
    "/path/to/document.pdf",
    "/path/to/document.docx"
  ]
}

Documentation Index

Fetch the complete documentation index at: https://docs.clarifeye.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

Authorization
string
header
required

Use Authorization: Bearer

Path Parameters

project_id
string<uuid>
required

UUID of the project

Response

Successful response

Map of metadata keys to their distinct values (sorted).

{key}
string[]