Voiceflow integration for Dimension Labs
This brings in your Voiceflow agent conversations, turn by turn: what each user typed or said and what the agent answered, in chat and voice. Each Voiceflow transcript becomes one conversation. You run it on your side: a small script pulls from the Voiceflow transcript API and posts each message to the universal API.
- Platform
- Voiceflow
- Type
- Chat, messaging and AI agents
- Connects by
- Universal API
- Setup
- 5 steps
- Guide checked
- 2026-10-26, against Voiceflow's documentation
Every Voiceflow 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.
action log: data.payload (text), data.payload.query (intent) or data.payload.label (button); trace log of type text or speak: data.payload.message text Skip launch requests, other trace types and empty text.
transcript userID userId The id of the end user who had the conversation. Use it on both sides. Fall back to the sessionId.
log type incoming true for action (the user), false for trace (the agent).
transcript id sessionId Prefix it, for example voiceflow-.
transcript id conversationId Same value as sessionId.
log createdAt dimensionlabs_timestamp Convert with toMillis. Turns less than a second apart are spaced 1,000 ms apart.
transcript sessionID, environmentAlias, version, properties, evaluations platformJson Properties and evaluation results become name: value pairs, so you can filter on your own outcome labels.
5 steps. Then it runs on its own.
A small job on your side reads Voiceflow 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 Voiceflow guide ›- 01Get API access in Voiceflow
- 02Pull new transcripts
- 03Map the fields
- 04Send it
- 05Run it
What you need
- A Voiceflow organization admin with permission to manage the organization, to create a service key.
- The project id: in the project, Settings > General > Metadata.
- A Dimension Labs API key for a new Universal API source.
[03] What you can ask
Questions teams answer with Voiceflow 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?
Voiceflow integration questions
Does Dimension Labs integrate with Voiceflow?
Yes. A small job on your side reads Voiceflow 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 Voiceflow's documentation on 2026-10-26.
What Voiceflow data does Dimension Labs bring in?
This brings in your Voiceflow agent conversations, turn by turn: what each user typed or said and what the agent answered, in chat and voice. Each Voiceflow transcript becomes one conversation. You run it on your side: a small script pulls from the Voiceflow transcript API and posts each message to the universal API.
What do I need to connect Voiceflow?
A Voiceflow organization admin with permission to manage the organization, to create a service key. The project id: in the project, Settings > General > Metadata. A Dimension Labs API key for a new Universal API source.
How often does Voiceflow 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 Voiceflow?
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.
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