#how to send data from zapier to eleven labs conversational ai agent

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rough meadowBOT
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AI-generated Answer for bebox1214

Short answer: there isn’t a first‑party “Zapier → live agent” push endpoint documented. The supported ways to move data between Zapier and an ElevenLabs Conversational AI agent are:

  1. Let your agent call Zapier during the conversation (recommended)
  • Add Zapier’s MCP server as a tool source in ElevenLabs, then attach it to your agent. Your agent can pass arguments collected in conversation to Zapier actions in real time.
  • Where to set this up: ElevenLabs Zapier MCP integration page and the MCP integration guide (add MCP server URL in the ElevenLabs dashboard, approve tools, and attach to the agent). (elevenlabs.io)
  1. Provide data to the agent at conversation start
  • Pass dynamic variables when you initiate a session over the agent WebSocket (conversation_initiation_client_data → dynamic_variables). (elevenlabs.io)
  • If you embed the agent widget, inject dynamic-variables in the HTML attributes. (elevenlabs.io)
  • For outbound phone campaigns, include columns in your recipient list; these are forwarded to the agent as dynamic variables (e.g., name, user_name). You can do this via the dashboard or by calling the Submit Batch Calling Job API from a Zap. (elevenlabs.io)
  1. Send data during a conversation (requires a small relay you host)
  • The documented way to inject mid‑call context is to send client‑to‑server events over the agent WebSocket. Supported events include:
    • contextual_update (adds background context without interrupting flow)
    • user_message (injects a text turn as if spoken)
  • Implement a minimal HTTPS endpoint that your Zap calls; that endpoint maintains the WebSocket to the agent and forwards Zap payloads as contextual_update or user_message. See the event schemas and the agent WebSocket endpoint in the docs. (elevenlabs.io)

Related notes

  • Tools overview (client tools, webhooks, system tools) for enhancing agents. (help.elevenlabs.io)
  • If your agent needs to act after calls (the opposite direction), enable post‑call webhooks. (elevenlabs.io)

If you share which direction you need (Zap populating variables before a call, Zap triggering outbound calls, or Zap updating a live session), I can map it to the exact API calls or dashboard steps from the docs above.

Sources:
Connect Zapier to ElevenLabs Conversational AI Voice Agents | ElevenLabs
Agent WebSockets | ElevenLabs Documentation
Widget customization | ElevenLabs Documentation
Batch calling | ElevenLabs Documentation
Client to server events | ElevenLabs Documentation
How to use tools with Conversational AI? – ElevenLabs
Post-call webhooks | ElevenLabs Documentation

rigid shuttle
#

zap populating variable before a answering a call

rough meadowBOT
#
AI-generated Answer for bebox1214

Short answer: Yes—populate variables before the agent answers by using ElevenLabs’ Twilio “conversation initiation” webhook. When an inbound call arrives, ElevenLabs POSTs call metadata to your webhook while the line is connecting; your webhook must synchronously return conversation_initiation_client_data that includes dynamic_variables (and optional overrides). Those values are applied before the agent speaks. See details and schema below.

How to do it

  • Enable: In your agent’s Security tab, turn on “Fetch conversation initiation data for inbound Twilio calls.” Configure the webhook URL in Conversational AI settings. (elevenlabs.io)
  • Implement webhook: Accept POST with caller_id, agent_id, called_number, call_sid. Respond immediately with JSON in the conversation_initiation_client_data shape (example fields shown below). (elevenlabs.io)
  • Provide variables: Put all required dynamic variables under dynamic_variables; use overrides only if you’ve enabled them. Missing required variables will cause the call to fail. (elevenlabs.io, help.elevenlabs.io)

Minimal response example (your webhook must return this JSON body)
{
"type": "conversation_initiation_client_data",
"dynamic_variables": {
"customer_name": "Ada Lovelace",
"account_tier": "pro"
},
"conversation_config_override": {
"agent": { "first_message": "Hi Ada, how can I help today?" }
}
}
Schema and full options are documented here. (elevenlabs.io)

About Zapier

  • Pre-answer variable population: Use the Twilio initiation webhook described above; any platform that can receive a POST and return JSON synchronously will work. (elevenlabs.io)
  • During-call actions: If you want the agent to execute Zapier actions in real time during the conversation (not just at answer), use the official Zapier MCP integration. (elevenlabs.io)

Related references

  • Dynamic variables (usage, URL methods for web, system variables list). (elevenlabs.io)
  • Troubleshooting failed calls (e.g., “Missing required dynamic variables …”). (help.elevenlabs.io)

If you share which variables you need to set and whether your inbound telephony is Twilio or SIP, I can point you to the exact fields

rigid shuttle
#

will I use the same webhook url to send the twilio data from eleven labs to zapier and to return the zapier data to eleven labs?