Overview
Retrieve detailed metadata, input fields, and output fields for any agent on the platform using its ID or slug.Use Cases
- Agent Discovery: Programmatically inspect an agent’s capabilities before invoking it.
- Dynamic Integrations: Build tools that adapt to an agent’s input/output schema at runtime.
- Catalog & Documentation: Generate agent directories or documentation from live metadata.
Endpoint
POST https://api-lr.agent.ai/v1/action/describe_agentAuthentication
Requires a Bearer token (your API key) in theAuthorization header.
Get your API key from agent.ai/user/settings#credits.
Configuration Fields
Agent ID
- Description: The unique agent identifier or human-readable slug.
- Example:
"fluximage"or"1a4g81x0bfsc5dpi" - Required: Yes
Response Fields
Agent
- id: Unique agent identifier.
- human_id: Human-readable slug used in URLs (nullable).
- name: Agent display name.
- description: Agent description text.
- url: Agent runner page URL (e.g.
https://agent.ai/agent/fluximage). - profile_url: Agent profile page URL (e.g.
https://agent.ai/profile/fluximage). - icon: Agent icon path.
- type: Agent type —
studio,workflow, orexpert. - status: Visibility —
public,private, orteam. - tags: Array of category tags.
- executions: Total number of runs.
- review: Object with
count(number of reviews) andscore(average 1–5). - authors: Array of author objects with
name,username, anduser_token. - created_at: ISO 8601 creation timestamp.
- updated_at: ISO 8601 last update timestamp.
Inputs
- Description: Array of input field variable names the agent accepts.
- Example:
["image_prompt"]
Outputs
- Description: Array of output variable names the agent produces.
- Example:
["image_generated"]
Example Request
-X POST https://api-lr.agent.ai/v1/action/describe_agent \

