> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bland.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# List Archived Nodes

> List nodes archived from your organization's agents.

### Overview

Returns the organization's archived nodes, newest first, up to 200 entries. Each entry is a self-contained copy of a node lifted off an agent canvas with [Archive Agent Node](/api-v2/post/agents-id-archived-nodes); a container node keeps its nested flow inside `node.data.flow`. Remove an entry with [Delete Archived Node](/api-v2/delete/agents-library-archived-nodes-archived-node-id).

### Headers

<ParamField header="authorization" type="string" required>
  Your API key for authentication.
</ParamField>

### Response

<ResponseField name="data" type="array">
  Array of archived node objects, most recently archived first.

  <Expandable title="archived node object">
    <ResponseField name="id" type="string">
      Unique identifier for the archive entry.
    </ResponseField>

    <ResponseField name="agent_id" type="string | null">
      The agent the node was archived from. May reference an agent that has since been deleted.
    </ResponseField>

    <ResponseField name="agent_name" type="string | null">
      The source agent's name as it was at archive time. Kept even if the agent is later renamed or deleted.
    </ResponseField>

    <ResponseField name="name" type="string">
      The node's name at archive time, or `Untitled node` when it had none.
    </ResponseField>

    <ResponseField name="kind" type="string">
      The archived node's type, for example `scenario`, `complex-scenario`, or `auth-zone`.
    </ResponseField>

    <ResponseField name="description" type="string | null">
      The first 160 characters of the node's rule or prompt at archive time. `null` when the node had neither.
    </ResponseField>

    <ResponseField name="node" type="object">
      The complete node payload (`id`, `type`, `position`, `data`, and for containers `data.flow`). Re-insertable into any agent's graph.
    </ResponseField>

    <ResponseField name="created_at" type="string">
      ISO 8601 timestamp of when the node was archived.
    </ResponseField>
  </Expandable>
</ResponseField>

<ResponseField name="errors" type="null | array">
  `null` on success, or a list of error objects if the request failed.
</ResponseField>

<ResponseExample>
  ```json Response theme={null}
  {
    "data": [
      {
        "id": "ff6c62c6-33c0-49f1-ae2c-fb24e3b3a6fa",
        "agent_id": "20d4a218-7083-4f3d-8ba3-4f6869345c70",
        "agent_name": "Front desk",
        "name": "Holiday hours",
        "kind": "scenario",
        "description": "Tell the caller the office is closed for the holiday and offer to take a message.",
        "node": {
          "id": "9a929a49-f89f-42a0-b9fb-e5c08cd6654a",
          "type": "scenario",
          "position": { "x": 380, "y": 260 },
          "data": {
            "name": "Holiday hours",
            "rule": "Tell the caller the office is closed for the holiday and offer to take a message.",
            "target": { "kind": "dialogue", "label": "Holiday hours" },
            "loopWhile": "",
            "variables": [],
            "entry": {
              "mode": "llm",
              "label": "Asks about hours",
              "description": "",
              "alwaysPick": false,
              "conditions": []
            }
          }
        },
        "created_at": "2026-09-09T17:02:44.318Z"
      },
      {
        "id": "b9f03e9e-6e50-4910-aad5-d257603a289c",
        "agent_id": null,
        "agent_name": "Old survey bot",
        "name": "Satisfaction question",
        "kind": "scenario",
        "description": "Ask the caller to rate their experience from 1 to 5.",
        "node": {
          "id": "c06bd9d6-3d58-471b-a19e-d082b2a62307",
          "type": "scenario",
          "position": { "x": 0, "y": 260 },
          "data": {
            "name": "Satisfaction question",
            "rule": "Ask the caller to rate their experience from 1 to 5.",
            "target": { "kind": "dialogue", "label": "Rating" },
            "loopWhile": "",
            "variables": [],
            "entry": {
              "mode": "llm",
              "label": "Survey",
              "description": "",
              "alwaysPick": false,
              "conditions": []
            }
          }
        },
        "created_at": "2026-08-30T11:45:09.006Z"
      }
    ],
    "errors": null
  }
  ```
</ResponseExample>

***

Docs for agents: [llms.txt](/llms.txt)