- Trigger an agent run from any inbound HTTP POST with a prompt or payload
- Call it directly from a browser or form builder, with no credential to hide
- Choose synchronous (wait for the agent’s response) or asynchronous (fire-and-forget) invocation
- Upload files (documents, images, audio) alongside the prompt
- Extract specific fields from the agent’s response instead of returning the full payload
- Map nested fields from the incoming payload to the agent’s input parameters
- Pass through MCP OAuth tokens for downstream tool authentication
- a Personal Agent
- or, a Custom Agent
Enable Webhooks
1
Open the Channels tab
In the Agent Studio, click the gear icon and go to the Channels tab. Find the Webhook section and toggle it on.

2
Copy your public URL
Enabling the webhook mints the agent’s public URL automatically. Click Configure and test to open the Agent Webhook Tester, where the Payload URL is that public URL, alongside a ready-to-use cURL command.

3
Test it
Choose an input format - JSON, Form Data, or Multipart. Set your payload fields and click Test Webhook. The response appears in the Response History panel.
Make Requests
Every webhook request is a POST to your agent’s public URL. The secret in the path both authenticates the call and binds it to that one agent, so nothing else is required.Calls to a public URL default to asynchronous and return
{"status": "Started"}, because the
typical caller is a browser that should not wait. Add ?asynchronous=false when you want the
agent’s answer in the response.Invoking with an API key
The original key-based form still works and is unchanged, which suits server-to-server callers that already hold an organization key:Optional Parameters
You can include any additional fields in your request body - they’re all passed to the agent as context.
When the same parameter appears in multiple places, query parameters take priority over body parameters, which take priority over defaults.
Choose Sync vs Async
Synchronous (default) - The request blocks until the agent finishes and returns the full result. Best for short tasks and interactive workflows.asynchronous=true to return immediately. The agent processes in the background. Best for long-running tasks, file processing, or when you don’t need the result inline.
Upload Files
Upload files usingmultipart/form-data. The agent automatically processes them - OCR for images, text extraction for PDFs, transcription for audio.
Uploaded files are stored on the Xpander platform and exposed to your agent through secure presigned URLs. Those URLs are scoped to your organization’s agents and remain valid for 30 days after upload. Your agent never handles download or storage logic directly.
Extract Data from Responses
Use thegetter parameter to extract a specific field from the agent’s response using dot notation.
Map Dynamic Parameters
Useparams_mapping as a query parameter to extract values from nested payload fields and map them to webhook parameters. This is especially useful for integrations with Telegram bots, WhatsApp, and other messaging platforms where identifiers are nested.
task_id, user_id, user_email, user_first_name, user_last_name, prompt.
Pass MCP OAuth Tokens
If your agent uses MCP servers with OAuth authentication, pass pre-authenticated user tokens viauser_tokens to bypass the interactive OAuth flow during webhook execution.
graph.items for entries with type: "mcp".
Monitor Webhook Runs
Every webhook invocation creates a task visible in the Monitor tab, exactly like any other agent run. You get the full execution trace: prompts, tool calls with request/response payloads, files processed, timing, and token usage. For details on reading execution traces, see Threads.Handle Errors
Next Steps
Scheduled Tasks
Run agents on a recurring schedule
MCP Protocol
Expose agents to Claude Desktop and code editors
Monitor Runs
Trace execution, debug failures, and review AI performance

