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Cognigy integration for Dimension Labs

This brings in your Cognigy.AI conversations, message by message: what each end user wrote, what the AI agent answered and what a human agent wrote after a handover. Each Cognigy session becomes one conversation. You run it on your side: a small script pulls from the Cognigy OData Analytics endpoint and posts each message to the universal API.

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

Every Cognigy message, in the same shape as everything else.

Each record lands in the Dimension Labs conversation format, so Dimensions, reports and the agent work the same way as for every other source.

CognigyDimension Labs
inputText text

Skip records where it is empty. Skip source suggestion: those are suggestions nobody sent.

contactId userId

The id of the connecting user. Use it on both sides of the conversation. Fall back to the sessionId.

source incoming

true when source is user. bot (the AI agent) and agent (a human agent) are false.

sessionId sessionId

Prefix it, for example cognigy-.

sessionId conversationId

Same value as sessionId. Keeps the conversation together across a handover to a human agent.

timestamp dimensionlabs_timestamp

Convert with toMillis.

channel, flowName, projectName, endpointName, localeReferenceId, inHandoverConversation, rating, id platformJson

rating is 1 or -1 when the user rated the session.

[02] How to connect CognigyUniversal API

5 steps. Then it runs on its own.

A small job on your side reads Cognigy 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 Cognigy guide ›
  1. 01Get API access in Cognigy
  2. 02Pull new messages
  3. 03Map the fields
  4. 04Send it
  5. 05Run it

What you need

  • A Cognigy user with the odata global role, and an API key for that user.
  • Your OData domain: https://odata-trial.cognigy.ai on a trial, https://odata-.cognigy.ai on shared SaaS, https://odata- on premises, or https://cognigy-odata-.nicecxone.com through NICE CXone. On dedicated SaaS, ask Cognigy for the URL.
  • Optionally, your project id, to give the job its own rate limit budget.
  • A Dimension Labs API key for a new Universal API source.

[03] What you can ask

Questions teams answer with Cognigy 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 StudioDialogflow CXBotpressVoiceflowZendeskGong
Not just these Any platform with an API connects the same way.

Cognigy integration questions

Does Dimension Labs integrate with Cognigy?

Yes. A small job on your side reads Cognigy 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 Cognigy's documentation on 2026-10-26.

What Cognigy data does Dimension Labs bring in?

This brings in your Cognigy.AI conversations, message by message: what each end user wrote, what the AI agent answered and what a human agent wrote after a handover. Each Cognigy session becomes one conversation. You run it on your side: a small script pulls from the Cognigy OData Analytics endpoint and posts each message to the universal API.

What do I need to connect Cognigy?

A Cognigy user with the odata global role, and an API key for that user. Your OData domain: https://odata-trial.cognigy.ai on a trial, https://odata-.cognigy.ai on shared SaaS, https://odata- on premises, or https://cognigy-odata-.nicecxone.com through NICE CXone. On dedicated SaaS, ask Cognigy for the URL. Optionally, your project id, to give the job its own rate limit budget. A Dimension Labs API key for a new Universal API source.

How often does Cognigy 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 Cognigy?

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 ›