Classify and tag incoming leads using AI text analysis

When a new lead is captured in Mumara, run their submission details through Exa AI to classify intent and apply appropriate tags in Mumara.

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Mumara Explore Mumara →

Triggers

New lead captured

Fires when a new lead or contact is captured in Mumara.

Contact enters a workflow

Fires when a contact enters an automation in Mumara.

Contact updated

Fires when a field on a contact changes in Mumara.

Contact unsubscribed

Fires when a contact unsubscribes in Mumara.

Actions

Create or update a contact

Creates or updates a contact in Mumara.

Add a contact to a campaign

Adds a contact to a workflow or campaign in Mumara.

Send a message

Sends an email or message to a contact via Mumara.

Apply or remove a tag

Changes a contact's tags in Mumara.

Exa AI Explore Exa AI →

Triggers

New completion generated

Fires when Exa AI generates a response to a prompt.

Model run failed

Fires when a request to Exa AI errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Exa AI finishes.

Actions

Generate a completion

Sends a prompt to Exa AI and returns the model's response.

Summarize text

Uses Exa AI to summarize a block of text.

Classify or extract data

Uses Exa AI to classify or extract structured data from text.

Generate personalized messaging for campaign contacts When a contact enters a workflow in Mumara, use Exa AI to generate custom text completions that tailor outreach messages to the user. See details

Update lead scores when AI fine-tuning completes When a fine-tune job completes in Exa AI, automatically update contact records in Mumara to apply updated classification rules across leads. See details

See all Mumara + Exa AI integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Classify and tag incoming leads using AI text analysis” between Mumara and Exa AI?

Yes — describe it in the box above and Knit's Integrations Agent researches Mumara and Exa AI's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

How can AI models enhance marketing automation campaigns?

By processing incoming lead details through Exa AI, you can generate personalized email copy, classify lead intent, or summarize notes in Mumara.

Can AI classify lead categories automatically when new contacts sign up?

Yes, when a new lead is captured in Mumara, AI capabilities in Exa AI can extract key insights and apply accurate tags to the contact record.