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Connect Ai ml api to Bigml

When something happens in Ai ml api, 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

Examples

Ways Notis can move work from Ai ml api to Bigml

View example

Catalog datasets created from AI workflows

Use a webhook to review an AI-generated dataset request and list BigML datasets so you can check what exists before starting another analysis.

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Review BigML sources on a schedule

Schedule a recurring BigML source list so you can spot the data inputs available for upcoming AI and machine learning work.

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Find BigML projects for an incoming request

Start from a webhook and list BigML projects to help connect an incoming AI or analytics request with an existing project.

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Review recent BigML prediction resources

Schedule a recurring list of BigML predictions to make prediction activity easier to review alongside your AI work.

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Check existing BigML models for a new AI task

Use an incoming webhook to list BigML models and report whether existing model resources may be relevant to a new task.

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Keep reusable BigML configurations in view

Schedule a recurring list of BigML configurations so reusable parameters are easier to find when planning AI and modeling work.

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Find BigML evaluations connected to a review request

Start from an evaluation request and list BigML evaluations to help you locate existing model review work.

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Review BigML executions at a regular checkpoint

Schedule a recurring list of BigML executions to keep machine learning activity visible and make follow-up easier to remember.

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Check BigML sources before starting AI data work

Use a webhook request to list BigML sources and report the available inputs before you commit to a new data task.

Supported Triggers and Actions

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

Ai ml api 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.

Notis

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.

  • Full run history with inputs, outputs and traces
  • Replay any run with edited inputs
  • Approval inbox, confirm via chat in one tap
  • Audit logs for compliance teams

Automations

Inbox

All12Manager5Telegram1Messages0Whatsapp2Email4Slack8

Migrate background jobs to a durable queue You can cancel it through Stripe

3 days

Notis v3 release update This one’s v3: Notis Manager (desktop app with …

8 days

Add multi-tenant RBAC User initiates a voice call

13 days

Draft pricing v (tiers, limits, overages) and sanity-check margins

2 weeks

Verify analytics events for new features That’s a really interesting automat…

1 month

Everything in the box.

Whatever starts the workflow, the platform underneath is the same: a thinking brain, full visibility, and you in control.

AI in the middle

Every step can include an LLM call: summarise, classify, extract, rewrite.

Full observability

Every run, every step, every input, all replay-able from Mission Control.

Human in the loop

Pause for approval. Notis pings you in chat with one-tap approve.

Self-healing

When an API changes shape, Notis adapts the parser. Less midnight fire-fighting.

Related pairs

More ways to connect Ai ml api and Bigml

Connect any two apps with Notis in the middle.

Ai ml api and Bigml, or any other combination from 1,000+ integrations.

When this happens · Trigger

Do this · Action

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