Connect Telegram to Databox
When something happens in Telegram, Notis takes the next step in Databox. Describe what you want in plain English, or start from one of the examples below.
When this happens · Trigger
Do this · Action
Ways Notis can move work from Telegram to Databox
Log founder metrics from Telegram
Send a business metric in a Telegram chat and have Notis add the record to its Databox dataset, so a quick update does not get lost in your messages.
Save cash flow snapshots from chat
Post a concise cash flow or runway update in Telegram and let Notis add it to a Databox dataset for later reporting.
Turn Telegram sales wins into dataset records
Capture deal wins or revenue milestones announced in Telegram as Databox data points, without a second manual logging step.
Collect customer feedback signals in Databox
When someone shares a customer insight in Telegram, have Notis add the useful signal to a Databox dataset for review alongside business metrics.
Record launch results from channel posts
Use channel posts announcing campaign results or launch milestones as a cue for Notis to add the relevant data to Databox.
Capture KPI announcements from a Telegram channel
Turn a channel post with a weekly KPI update into a Databox dataset record, keeping recurring numbers in reach.
Log a metric after a Telegram approval tap
Let a reviewer tap an inline button to signal that a proposed metric is ready, then have Notis push the approved update to Databox.
Record campaign figures after review
Use a Telegram button tap to confirm that a campaign result is reviewed, then save that result to Databox.
Update records when KPI messages are corrected
When someone edits a KPI message in Telegram, have Notis interpret the correction and push the corrected value to Databox.
Supported Triggers and Actions
Notis builds workflows that link Telegram to Databox. A trigger fires from one place; an action lands in another.
Telegram triggers
Databox actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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.
New Message Received
Triggered when your bot receives a new message in a private chat, group, or supergroup. To receive every message in a group, Privacy Mode must be disabled for the bot in BotFather.
Delete Dataset
Tool to delete a dataset by ID in Databox. Use when you need to permanently remove a dataset. This operation is irreversible.
New Channel Post
Triggered when a new post is published to a channel where your bot is an administrator.
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.
Callback Query Received
Triggered when a user taps an inline keyboard button attached to one of your bot's messages.
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.
Message Edited
Triggered when a message in a chat your bot can see is edited by its sender.
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.
New Chat Member
Triggered when a new member joins a group or supergroup the bot belongs to, including when the bot itself is added.
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
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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 Telegram and Databox
Connect any two apps with Notis in the middle.
Telegram and Databox, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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