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POST
/
list
/
sources_by_id
Get Source By Id
curl --request POST \
  --url https://api.usecortex.ai/list/sources_by_id \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "tenant_id": "tenant_1234",
  "source_ids": [
    "CortexDoc1234",
    "CortexDoc4567"
  ],
  "sub_tenant_id": "sub_tenant_4567"
}'
{
  "sources": [
    {
      "id": "<id>",
      "title": "<title>",
      "type": "<type>",
      "timestamp": "<timestamp>",
      "description": "<description>",
      "document_metadata": {
        "quarter": 3,
        "year": 2023
      },
      "tenant_metadata": {
        "confidentiality": "high"
      }
    }
  ],
  "success": true,
  "message": "Sources retrieved successfully"
}
Hit the Try it button to try this API now in our playground. It’s the best way to check the full request and response in one place, customize your parameters, and generate ready-to-use code snippets.

​
Sample Request

curl --request POST \
  --url https://api.usecortex.ai/list/sources_by_id \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "tenant_id": "tenant_1234",
  "source_ids": [],
  "sub_tenant_id": "sub_tenant_4567"
}'

​
Overview

Retrieve specific sources by their IDs. Use this API to fetch one or more sources by providing their unique identifiers. This is useful when you need detailed information about specific documents or content you’ve previously uploaded.

​
Example Request

{
  "tenant_id": "tenant_456",
  "sub_tenant_id": "subtenant_123",
  "source_ids": ["doc_123", "doc_456"]
}

​
Example Response

{
  "sources": [
    {
      "id": "CortexDoccf0f1ccee4864c679bad5678bb1c515a1757402245",
      "title": "ai-2027.pdf",
      "type": "file",
      "timestamp": "1757402409.7277222",
      "description": "### **AI Futures** **Project** # **AI** **2027** ### **AI Futures** ### **Project** ## **`Daniel Kokotajlo`** **`Scott Alexander`** **`Thomas Larsen`** **`Eli Lifland`** **`Romeo Dean`** ``` Originally published on April 3rd 2025 on AI-2027.com ``` ``` Design by Lightcone Infrastructure ``` ## **AI 2027** We predict that the impact of superhuman AI",
      "document_metadata": {},
      "tenant_metadata": {}
    }
  ],
  "success": true,
  "message": "Successfully fetched sources"
}

​
Error Responses

All endpoints return consistent error responses following the standard format. For detailed error information, see our Error Responses documentation.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
tenant_id
string
required

Unique identifier for the tenant/organization

Example:

"tenant_1234"

​
source_ids
string[]
required

List of source IDs to fetch

Example:
["CortexDoc1234", "CortexDoc4567"]
​
sub_tenant_id
string
default:""

Optional sub-tenant identifier used to organize data within a tenant. If omitted, the default sub-tenant created during tenant setup will be used.

Example:

"sub_tenant_4567"

Response

Successful Response

​
sources
Sources · array
required

List of source documents retrieved

​
success
boolean
default:true

Indicates whether the request was successful

Example:

true

​
message
string
default:Sources retrieved successfully

Response message describing the operation result

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