Connect Active campaign to Bigml

When something happens in Active campaign, Notis takes the next step in Bigml. Describe what you want in plain English, or start from one of the examples below.

When this happens · Trigger

Do this · Action

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Examples

Ways Notis can move work from Active campaign to Bigml

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Review Lead Scores Against Existing Models

When a campaign lead batch arrives by webhook, inspect available BigML models and summarize which existing model may support the review. Provide the scoring data and model context in the webhook request.

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Check BigML Dataset Readiness

On a recurring schedule, list BigML datasets and summarize which existing datasets may be relevant to the campaign data described in your instruction. Supply the campaign data context and readiness criteria yourself.

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Find a BigML Project for Campaign Analysis

When a campaign analysis request arrives by webhook, list BigML projects and report which existing project best matches the project context supplied in the request.

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Review BigML Data Sources for Campaign Work

On a recurring schedule, list BigML sources and summarize their fit with campaign data needs you provide. The report can flag when source descriptions or parsing details need a closer look.

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Inspect a BigML Source for a Campaign Request

When a campaign data request arrives, retrieve the specified BigML source details and summarize its raw data and parsing configuration for the request report.

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Audit BigML Configurations for Campaign Analysis

On a recurring schedule, list BigML configurations and summarize their relevance to campaign analysis criteria that you provide in the instruction.

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Inspect BigML Parameters for a Campaign Analysis

When a campaign analysis request includes a BigML configuration ID, retrieve its stored parameters and summarize the settings relevant to that request.

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Create a BigML Project for a New Campaign Analysis

When a request marks a campaign analysis as needing a new BigML workspace, create a project using the project details supplied with the webhook request.

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Review a BigML Project for Campaign Work

On a recurring schedule, retrieve a specified BigML project and summarize its metadata against the campaign context and review criteria in your instruction.

Supported Triggers and Actions

Notis builds workflows that link Active campaign to Bigml. A trigger fires from one place; an action lands in another.

Active campaign triggers

Bigml actions

Recurring trigger

Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.

TriggerScheduled

Create External Connector

Creates an external connector for a data source.

ActionInstant

Webhook trigger

Notis starts this workflow when an external tool or custom backend sends an HTTP request.

TriggerInstant

Create Project

Creates a project to group related resources.

ActionInstant

Delete Project

Permanently deletes a project.

ActionInstant

Get External Connector

Retrieves details of an external connector.

ActionInstant

Get Configuration

Retrieves a configuration’s stored parameters and details.

ActionInstant

Get Project

Retrieves project details.

ActionInstant

List Correlations

Lists existing correlation resources.

ActionInstant

Get Source

Retrieves details about a source’s raw data and parsing configuration.

ActionInstant

Trigger Types

Four ways to start an automation.

A trigger is the event that kicks a workflow off. Notis supports four kinds: an event in a connected app, an inbound webhook, a recurring schedule, and soon, your own database.

Integration triggers

Fire when something happens inside a connected app. New Notion page, Stripe charge, Linear issue: any of 1,000+ apps can start a workflow.

New Notion pageStripe chargeCalendar event

Webhook triggers

A unique URL per workflow. Anything that can send an HTTP POST can start an automation, including no-code tools that speak webhooks.

Any HTTP POSTCustom backendIoT event

Works with

ZapierPipedream

Most used

Recurring triggers

Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.

Daily · 8:00HourlyWeekdays only

Coming soon

Database triggers

Watch a row, query, or threshold in your own database and fire the moment the data changes. Row inserted, value crosses a limit, query starts matching.

Row insertedValue > limitQuery match

Why AI automation

Classic automation breaks. AI adapts.

Same triggers and actions, smarter middle. AI handles the fuzziness that breaks traditional Zapier-style workflows the moment a field gets renamed.

Classic automationAI automation

Cost

$ · pay per run

$$ · AI models per run

Reliability

Breaks on schema change

Adapts to format changes

Setup

Click 8 dropdowns

Describe it in English

Handles fuzzy

Hard-coded fields only

Reads intent, summarises

Human in loop

Bolted on

Built in · approval inbox

Maintenance

You own every break

Self-heals · we own it

Ease of use

Describe it. Notis builds it.

Skip the visual builder. Tell Notis what you want, in plain English. It writes the workflow, you review and deploy.

You · in the Notis Builder

NEW

“When a row gets added to the Q4 OKRs Notion database and the status is Blocked, send a Telegram message to the owner with a summary of what's blocking, and ping me if there's no reply within 24 hours.”

Notis built this automation:

TriggerRow added to "Q4 OKRs"

Condition✦Status = "Blocked"

AI step✦Summarise the blocker in plain English

ActionDM the row owner with summary

Timeout✦No reply in 24h → ping you

Observability

Watch every run.

Notis Desktop is Mission Control for your AI automations. See every run, replay, edit, or rewind. Set approval gates so Notis pauses before destructive actions.