Connect
Givebutter and
Databox to power automations.
Trigger from one app, act on another, with a thinking brain in the middle. Build it in plain English. Approve from your phone.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Givebutter to Databox. A trigger fires from one place; an action lands in another.
Givebutter triggers
Databox actions
Create Dataset
Tool to create a new dataset in Databox data source. Use when you need to initialize a dataset with a title, data source ID, and primary keys for unique record identification.
Create Data Source
Tool to create a new data source in Databox. Use when you need to create a logical container for datasets within a Databox account. Requires accountId, title, and timezone parameters.
Delete Dataset
Tool to delete a dataset by ID in Databox. Use when you need to permanently remove a dataset. This operation is irreversible.
Delete Data Source
Tool to delete a data source by ID in Databox. Use when you need to permanently remove a data source. This operation is irreversible and will delete all associated datasets.
Get Dataset Ingestion Status
Tool to check the status of a specific data ingestion for a dataset. Use when you need to verify whether a data ingestion was successful by providing the dataset ID and ingestion ID returned from the initial POST request.
List Accounts
Tool to retrieve all Databox accounts accessible to the authenticated user. Use to identify account IDs required for subsequent API operations like data source creation.
Push Data to Dataset (V1)
Tool to push data points to a Databox dataset using the v1 API. Use when you need to ingest data records into a specific dataset by providing the dataset ID and an array of records matching the dataset schema.
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.
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.
Recurring triggers
Cron-style schedules run a workflow on the clock. Daily standups, hourly syncs, business-hours-only digests: the workhorse of Notis.
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.
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.
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:
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
Migrate background jobs to a durable queue You can cancel it trough Stripe
3 daysNotis v3 release update This one’s v3: Notis Manager (desktop app with …
8 daysAdd multi-tenant RBAC User initiates a voice call
13 daysDraft pricing v (tiers, limits, overages) and sanity-check margins
2 weeksVerify analytics events for new features That’s a really interesting automat…
1 monthEverything 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.
More ways to connect Givebutter and Databox
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When this happens · Trigger
Do this · Action
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