Skip to content
Log in Start now →
Product
PlatformPricingDimensionsIntegrationsSecurityCompare
Solutions · by use case
Customer, guest and fan experienceProduct feedback and prioritizationRevenue, churn and retentionAgenciesContact center performanceAI agent and chatbot analyticsMulti-location performanceReviews and competitive benchmarking
Solutions · by industry
Hotels and hospitalityRestaurants and food serviceFitness and leisureRetail and e-commerceSports and live entertainmentInsuranceBanking and financial servicesSoftware and SaaSAutomotiveConsumer products and CPGContact centers and BPOsPublic sector and nonprofitReal estateGaming and betting
Learn
Artifacts GalleryCustomer storiesResearchBlogThought leadershipLessons Log in Start now

Dialogflow CX integration for Dimension Labs

This brings in your Dialogflow CX (Conversational Agents) conversations, turn by turn: what each end user said or typed and what the agent answered. Each Dialogflow conversation becomes one conversation. You run it on your side: a small script pulls from the Dialogflow CX Conversations API and posts each message to the universal API.

Read the setup guide › Start now ›
Platform
Google Dialogflow CX
Type
Chat, messaging and AI agents
Connects by
Universal API
Setup
5 steps
Guide checked
2026-10-26, against Google's documentation
[01] What comes acrossFrom Dialogflow CX into one format

Every Dialogflow CX message, in the same shape as everything else.

The Conversations API returns each turn's user text and agent text as plain strings, which keeps the code short. If you already export conversation history to BigQuery, you can use that table instead: see BigQuery export.

Dialogflow CXDimension Labs
interaction requestUtterances (user), responseUtterances (agent) text

One interaction gives up to two messages. Skip empty ones, such as an event-only request.

conversation id userId

Dialogflow doesn't give an end-user id here, so use the sessionId on both sides.

which field the text came from incoming

true for requestUtterances, false for responseUtterances.

the last segment of the conversation name sessionId

Prefix it, for example dialogflow-.

the last segment of the conversation name conversationId

Same value as sessionId.

interaction createTime dimensionlabs_timestamp

Convert with toMillis. The agent's reply gets the same time plus 1,000 ms.

conversation languageCode, type, environment.displayName, metrics.hasLiveAgentHandoff; interaction response.queryResult.match.intent.displayName, response.queryResult.currentPage.displayName platformJson

type is TEXT, AUDIO or UNDETERMINED.

[02] How to connect Dialogflow CXUniversal API

5 steps. Then it runs on its own.

A small job on your side reads Dialogflow CX through its API and posts each message to the Dimension Labs universal API. The guide gives the steps, the field mapping and the code. Run the job once for history, then every 15 minutes. A live source is enriched automatically every day; history is enriched with a backfill.

Open the full Dialogflow CX guide ›
  1. 01Get API access in Dialogflow CX
  2. 02Pull new conversations
  3. 03Map the fields
  4. 04Send it
  5. 05Run it

What you need

  • Conversation history turned on for the agent. Dialogflow only stores conversations from the time it is on.
  • A Google Cloud service account with the IAM permissions dialogflow.conversations.list and dialogflow.conversations.get on the agent's project. A custom role with just those two is enough.
  • Your project id, the agent's location (for example global or us-central1) and the agent id.
  • A Dimension Labs API key for a new Universal API source.

[03] What you can ask

Questions teams answer with Dialogflow CX data.

  • Where does the bot fail, and what does it cost?
  • What do customers say right before they ask for a person?
  • Which intents should be automated next?
[04] More chat, messaging and ai agentsAll integrations ›
IntercomAdaLiveChatTwilioCopilot StudioCognigyBotpressVoiceflowZendeskGong
Not just these Any platform with an API connects the same way.

Dialogflow CX integration questions

Does Dimension Labs integrate with Dialogflow CX?

Yes. A small job on your side reads Dialogflow CX through its API and posts each message to the Dimension Labs universal API. The guide gives the steps, the field mapping and the code. The setup guide was checked against Google's documentation on 2026-10-26.

What Dialogflow CX data does Dimension Labs bring in?

This brings in your Dialogflow CX (Conversational Agents) conversations, turn by turn: what each end user said or typed and what the agent answered. Each Dialogflow conversation becomes one conversation. You run it on your side: a small script pulls from the Dialogflow CX Conversations API and posts each message to the universal API.

What do I need to connect Dialogflow CX?

Conversation history turned on for the agent. Dialogflow only stores conversations from the time it is on. A Google Cloud service account with the IAM permissions dialogflow.conversations.list and dialogflow.conversations.get on the agent's project. A custom role with just those two is enough. Your project id, the agent's location (for example global or us-central1) and the agent id. A Dimension Labs API key for a new Universal API source.

How often does Dialogflow CX data update?

Run the job once for history, then every 15 minutes. A live source is enriched automatically every day; history is enriched with a backfill.

Can I connect a platform that is not Dialogflow CX?

Yes. Any platform with an API connects through the same universal API, and any tool with an export button works as a file upload. The integrations page lists the platforms with a written guide.

Dimension Labs/Start with one file From $299 a month

Stop reporting. Start understanding.

Start with one file. Ask why a number moved. Plans from $299 a month, no demo and no contract on monthly plans.

Start now › See pricing ›