Intercom: Search Conversations

Search conversations.

Tool ID: intercom_search_conversations

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'intercom_search_conversations',
  {
    "query": {}
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute intercom_search_conversations --input '{
  "query": {}
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "data": {
    "type": "conversation.list",
    "conversations": [
      {
        "type": "example",
        "id": "id_123",
        "title": "VP of Engineering"
      }
    ],
    "total_count": 123
  }
}

Use deepline tools get intercom_search_conversations --json for the latest machine-readable contract.

Input reference

Search using Intercoms Search APIs.

Name	Type	Required	Default	Details
`payload.query`	`object`	Yes	—	—
`payload.pagination`	`object`	No	—	—

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	Conversations are how you can communicate with users in Intercom. They are created when a contact replies to an outbound message, or when one admin directly sends a message to a single contact.
`result.data.type`	`"conversation.list"`	No	—	Always conversation.list Allowed: `conversation.list`.
`result.data.conversations`	`array`	No	—	The list of conversation objects
`result.data.conversations[].type`	`string`	No	—	Always conversation.
`result.data.conversations[].id`	`string`	No	—	The id representing the conversation.
`result.data.conversations[].title`	`string \| null`	No	—	The title given to the conversation.
`result.data.conversations[].created_at`	`integer`	No	—	The time the conversation was created. Format: `date-time`.
`result.data.conversations[].updated_at`	`integer`	No	—	The last time the conversation was updated. Format: `date-time`.
`result.data.conversations[].waiting_since`	`integer \| null`	No	—	The last time a Contact responded to an Admin. In other words, the time a customer started waiting for a response. Set to null if last reply is from an Admin. Format: `date-time`.
`result.data.conversations[].snoozed_until`	`integer \| null`	No	—	If set this is the time in the future when this conversation will be marked as open. i.e. it will be in a snoozed state until this time. i.e. it will be in a snoozed state until this time. Format: `date-time`.
`result.data.conversations[].open`	`boolean`	No	—	Indicates whether a conversation is open (true) or closed (false).
`result.data.conversations[].state`	`"open" \| "closed" \| "snoozed"`	No	—	Can be set to “open”, “closed” or “snoozed”. Allowed: `open`, `closed`, `snoozed`.
`result.data.conversations[].read`	`boolean`	No	—	Indicates whether a conversation has been read.
`result.data.conversations[].priority`	`"priority" \| "not_priority"`	No	—	If marked as priority, it will return priority or else not_priority. Allowed: `priority`, `not_priority`.
`result.data.conversations[].admin_assignee_id`	`integer \| null`	No	—	The id of the admin assigned to the conversation. If it’s not assigned to an admin it will return null.
`result.data.conversations[].team_assignee_id`	`integer \| null`	No	—	The id of the team assigned to the conversation. If it’s not assigned to a team it will return null.
`result.data.conversations[].company`	`object`	No	—	Companies allow you to represent organizations using your product. Each company will have its own description and be associated with contacts. You can fetch, create, update and list companies.
`result.data.conversations[].company.type`	`"company"`	No	—	Value is `company` Allowed: `company`.
`result.data.conversations[].company.id`	`string`	No	—	The Intercom defined id representing the company.
`result.data.conversations[].company.name`	`string`	No	—	The name of the company.
`result.data.conversations[].company.app_id`	`string`	No	—	The Intercom defined code of the workspace the company is associated to.
`result.data.conversations[].company.plan`	`object`	No	—	—
`result.data.conversations[].company.plan.type`	`string`	No	—	Value is always “plan”
`result.data.conversations[].company.plan.id`	`string`	No	—	The id of the plan
`result.data.conversations[].company.plan.name`	`string`	No	—	The name of the plan
`result.data.conversations[].company.company_id`	`string`	No	—	The company id you have defined for the company.
`result.data.conversations[].company.remote_created_at`	`integer`	No	—	The time the company was created by you.
`result.data.conversations[].company.created_at`	`integer`	No	—	The time the company was added in Intercom.
`result.data.conversations[].company.updated_at`	`integer`	No	—	The last time the company was updated.
`result.data.conversations[].company.last_request_at`	`integer`	No	—	The time the company last recorded making a request.
`result.data.conversations[].company.size`	`integer`	No	—	The number of employees in the company.
`result.data.conversations[].company.website`	`string`	No	—	The URL for the company website.
`result.data.conversations[].company.industry`	`string`	No	—	The industry that the company operates in.
`result.data.conversations[].company.monthly_spend`	`integer`	No	—	How much revenue the company generates for your business.
`result.data.conversations[].company.session_count`	`integer`	No	—	How many sessions the company has recorded.
`result.data.conversations[].company.user_count`	`integer`	No	—	The number of users in the company.
`result.data.conversations[].company.custom_attributes`	`record`	No	—	The custom attributes you have set on the company.
`result.data.conversations[].company.tags`	`object`	No	—	The list of tags associated with the company
`result.data.conversations[].company.tags.type`	`"tag.list"`	No	—	The type of the object Allowed: `tag.list`.
`result.data.conversations[].company.tags.tags`	`array`	No	—	—
`result.data.conversations[].company.tags.tags[].type`	`string`	No	—	value is “tag”
`result.data.conversations[].company.tags.tags[].id`	`string`	No	—	The id of the tag
`result.data.conversations[].company.tags.tags[].name`	`string`	No	—	The name of the tag
`result.data.conversations[].company.segments`	`object`	No	—	The list of segments associated with the company
`result.data.conversations[].company.segments.type`	`"segment.list"`	No	—	The type of the object Allowed: `segment.list`.
`result.data.conversations[].company.segments.segments`	`array`	No	—	—
`result.data.conversations[].company.segments.segments[].type`	`"segment"`	No	—	The type of object. Allowed: `segment`.
`result.data.conversations[].company.segments.segments[].id`	`string`	No	—	The unique identifier representing the segment.
`result.data.conversations[].company.segments.segments[].name`	`string`	No	—	The name of the segment.
`result.data.conversations[].company.segments.segments[].created_at`	`integer`	No	—	The time the segment was created.

The table shows the first 50 fields. Use the live contract below for every field.

This output schema is too large to embed without slowing the page. Get the complete live contract with deepline tools get intercom_search_conversations --json.

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0 per pricing unit.
Provider-native pricing may still exist outside Deepline credit billing.

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Reference

Intercom: Search Conversations

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Example response

Input reference

Output reference

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Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation